Claude for Insurance Brokers

This training introduces you to the latest version of the Anthropic Claude AI suite of tools for Insurance Brokers.

Description

 

TTS.

Claude for Insurance Brokers

Download Course Outline

A practical, hands-on training day for insurance brokers and underwriters in Australia and New Zealand — from first login to building and launching your own compliance app. No coding experience required.

ttsolutions.com.au  ·  1300 667 577  ·  info@ttsolutions.com.au

A B O U T   T H I S   C O U R S E

Claude for Insurance Brokers

This full-day training program is designed for insurance broking professionals and underwriters in Australia and New Zealand who want to move fast with Claude AI — from first login all the way to building and launching a working compliance application. No coding experience required.

By the end of the day you will have a fully configured Claude setup tailored to your brokerage, hands-on experience across Claude’s complete feature set, and a working Compliance Skill and app your whole team can use immediately.

TIPBring your real work into every session. The exercises deliver maximum value when you are working on actual client files, policy documents, or compliance questions from your own book of business.

🔒 DATA SOVEREIGNTY — AUSTRALIAN & NZ BROKERS

Client data, policy information, and claims details are subject to Australian Privacy Act 1988 and NZ Privacy Act 2020 obligations. This course covers how to configure Claude for Teams with Australian data residency, set enterprise-grade data controls, and build organisational governance policies that ensure client and insurer data never leaves the approved boundary.

F U L L   D A Y   A G E N D A

Course Outline

 

What the course covers

01 Getting Started with Claude for Brokers
02 Personalising Claude for Your Brokerage
03 Projects & Knowledge Bases
04 Skills — Building Reusable Broker Prompt Packs
05 Connectors — Gmail, Drive, Calendar & Brokerage Systems
06 MCP — Connecting to Industry Portals & Data Sources
07 Prospect Management with Claude
08 Client Onboarding & Fact-Finds
09 Pre-Renewal Interviews & Renewal Management
10 Policy Administration & Document Work
11 Claims Management Support
12 Compliance & Regulation
13 Client Sentiment & Retention Insights
14 Reporting & Business Intelligence
15 Claude for Underwriters
16 Working Safely — Governance, Monitoring & Data Controls
17 Social Media, Marketing & Client Communications
18 Build a Broker Compliance Skill & Launch a Compliance App

01

Getting Started with Claude for Brokers

Before using any AI tool with client data, you need to understand where your data goes and how to configure Claude to protect it. This module covers account setup, Australian data residency options in Claude for Teams, and a confident tour of all three interfaces — browser, desktop, and mobile.

You will leave with a fully configured account tailored to your brokerage, so every session from this point is intentional from the start.

What You Will Learn

Navigate the settings menu confidently across browser, desktop, and mobile
Understand Claude’s data handling model and configure Australian data residency in Claude for Teams
Control memory and conversation history appropriately for brokerage use
Understand the difference between Haiku, Sonnet, and Opus and match each to brokerage task types
Switch models without losing conversation context
TIPUse Claude for Teams — not the free tier — for all brokerage work. It provides a data processing agreement, no training on your data by default, and Australian data residency. Set this up in your first five minutes.
Duration: 30 minutes   
🔬Lab 1: Getting Started — Setup & First Broker Prompt
02

Personalising Claude for Your Brokerage

A well-configured Claude is dramatically more useful than an out-of-the-box one. In this session you write a custom system prompt that tells Claude about your brokerage, your AFSL licence, your preferred communication tone, and the classes of insurance you specialise in.

What You Will Learn

Write a broker-specific system prompt covering your AFSL licence, specialist classes, and communication style
Enable memory and shape what Claude remembers about your role and clients across sessions
Set response length and output format preferences appropriate for broker correspondence
Create reusable instruction sets for the tasks you perform every week
TIPAdd your brokerage name, AFSL number, and the top five risk classes you write to your system prompt. Claude will use this in every response — no need to repeat it with every prompt.
Duration: 30 minutes   
🔬Lab 2: Writing Your Broker System Prompt
03

Projects & Knowledge Bases

Projects let you group related conversations, policy documents, compliance resources, and custom instructions into one organised workspace. Instead of uploading documents every session, a Project remembers everything relevant to a specific client, insurer, or risk class.

What You Will Learn

Create and configure a per-client Project with persistent instructions
Upload and reference policy wordings, PDS documents, and compliance guidelines without re-attaching them
Complete coverage gap analysis and file note tasks from project context alone
Share Projects with team members for collaborative account management
Maintain consistent tone, format, and regulatory context across all client interactions
TIPCreate a ‘Compliance & Regulation’ Project and populate it with ASIC regulatory guides, the ICA Code of Practice, and AFCA complaint-handling requirements. Every team member then has instant access to current compliance context.
Duration: 40 minutes   
🔬Lab 3: Setting Up and Working with Projects and Knowledge Bases
04

Skills — Building Reusable Broker Prompt Packs

Skills are reusable instruction sets that extend Claude’s capabilities for specific, recurring tasks. Instead of re-writing complex prompts every time, a Skill packages the instructions, output format, and context once — then any broker on the team can invoke it instantly.

What You Will Learn

Understand the difference between Skills, Connectors, and Plugins in the Claude interface
Write structured Skill instructions that produce consistent, professional brokerage output
Build and test a Renewal Recommendation Letter Skill end-to-end
Build and test a Coverage Gap Analysis Skill with RAG (Red/Amber/Green) risk rating
Build a Pre-Renewal Interview Script Skill with client profile variables
Share Skills across your team so every broker uses the same high-quality prompts

Key Skills You Will Build in This Course

Renewal Recommendation Letter Generates a professional renewal letter with coverage summary, market options, and broker recommendation in your letterhead style
Coverage Gap Analysis Analyses a policy schedule against the client risk profile and outputs a gap report with RAG risk rating
Pre-Renewal Interview Script Generates a structured interview script tailored to the client’s industry, risk class, and claims history
Claims Draft Correspondence Drafts an initial claims notification letter to the insurer from brief dot-point notes
Compliance Checker Cross-checks broker correspondence or advice against current ASIC and ICA Code obligations
Prospect Research Brief Researches a prospect’s industry, identifies likely risk exposures, and drafts a first-meeting agenda
TIPA well-written Skill is like a trained staff member who always follows the process. Define the inputs, output format, tone, and regulatory constraints inside the Skill — every broker gets the same professional result every time.
Duration: 40 minutes   
🔬Lab 4: Creating and Managing Skills
05

Connectors — Gmail, Drive, Calendar & Brokerage Systems

Connectors are live bridges between Claude and the tools your brokerage already uses. With the right Connectors in place, Claude can read insurer emails, pull renewal packs from Google Drive, check the calendar for upcoming renewals, and post to Slack — all from inside a Claude conversation.

What You Will Learn

Connect Gmail, Google Drive, and Google Calendar via OAuth in under five minutes each
Triage the inbox, draft responses to insurer emails, and extract action items automatically
Search Drive for renewal packs, compare two insurer quotes, and generate a recommendation report
Review the upcoming renewal pipeline from Calendar and schedule missing client review meetings
Run a combined three-connector workflow: insurer email → Drive document → calendar entry → draft letter
TIPConnect Google Drive first and point Claude at your Renewals folder. Asking “What renewals are due in the next 30 days?” becomes a one-sentence query once Claude can see your renewal pipeline.
Duration: 40 minutes   
🔬Lab 5: Working with Connectors
06

MCP — Connecting to Industry Portals & Data Sources

MCP (Model Context Protocol) is the open standard that lets Claude connect securely to external tools, databases, and APIs. Think of it as the USB standard for AI — a universal connector that lets Claude plug into almost anything. For an Australian brokerage, this means Claude can query Steadfast Insight, read from ICRM (Dataverse) for client records, and pull documents from SharePoint.

What You Will Learn

Understand what MCP is, how it works, and why it is the most powerful integration layer for brokerage automation
Distinguish between hosted MCP servers and local MCP servers
Connect Claude Desktop to a SharePoint MCP server for policy document access
Configure read-only access to ICRM/Dataverse client records via MCP
Use Claude to query Steadfast Insight market data and surface pricing trends for a renewal
Apply the principle of least privilege: ensure Claude only accesses data it needs for each task
TIPMCP is what turns Claude from a chatbot into a brokerage agent. Once connected to an MCP server, Claude can take real actions — querying your CRM, pulling documents, and surfacing insights — not just answer questions about them.
Duration: 40 minutes   
🔬Lab 6: Connecting to ICRM & SharePoint via MCP
07

Prospect Management with Claude

Winning new clients requires research, a compelling proposal, and fast follow-up. Claude compresses the time between identifying a prospect and delivering a professional first impression — researching the company, identifying likely risk exposures by industry, and producing a tailored proposal letter.

What You Will Learn

Use Claude with web search to research a prospect’s business, industry, and risk profile
Generate a prospect risk exposure summary by industry (construction, hospitality, professional services, etc.)
Draft a first-meeting agenda tailored to the prospect’s apparent insurance needs
Write a personalised proposal letter that positions your brokerage’s specialist capabilities
Create a follow-up email sequence for prospects who have not yet responded
TIPUse the Prospect Research Brief Skill as your starting point. Feed Claude the company name, ABN, and industry — it will identify likely coverage requirements, common exclusions to highlight, and questions to ask in the first meeting.
Duration: 30 minutes   
🔬Lab 7: Prospect Management — Research to Proposal
08

Client Onboarding & Fact-Finds

Client onboarding is document-heavy and compliance-sensitive. Claude accelerates every stage: generating structured fact-find questionnaires by risk class, drafting Statements of Advice, producing welcome letters and engagement agreements, and creating the file notes required under AFSL obligations — all from brief dot-point notes or voice dictation.

What You Will Learn

Generate a structured fact-find questionnaire tailored to the client’s industry and risk class
Draft a Statement of Advice (SOA) from meeting notes within minutes
Produce onboarding documents: engagement letter, privacy consent, scope of appointment
Create compliant file notes from voice dictation or bullet-point summaries
Use Claude to cross-check an SOA against ASIC’s advice obligations before sending
TIPDictate your meeting notes into Claude on your phone on the way back to the office. Ask it to produce a structured file note and a draft SOA. By the time you are back at your desk, you have a first draft ready to review — not a blank page.
Duration: 40 minutes   
🔬Lab 8: Client Onboarding — Fact-Find to SOA
09

Pre-Renewal Interviews & Renewal Management

The renewal process is the highest-volume workflow in a brokerage and carries significant E&O risk if rushed. Claude supports every stage: generating pre-renewal interview scripts, summarising market movements by class, drafting renewal recommendation letters with insurer comparisons, and tracking the renewal pipeline across the book.

What You Will Learn

Generate a pre-renewal interview script tailored to the client’s industry, risk class, and claims history
Summarise market movements for a specific class of risk using live web search
Draft a renewal recommendation letter with coverage summary, insurer options, and broker recommendation
Produce a renewal comparison table across two or three insurer quotes
Track the renewal pipeline using Claude to flag overdue renewals and missing client responses
TIPRun the Pre-Renewal Interview Script Skill two weeks before each renewal. It generates the right questions for that specific client — their industry changes, claims experience, business growth, and any new exposures since last year. You walk into the meeting fully briefed.
Duration: 40 minutes   
🔬Lab 9: Pre-Renewal — Interview to Recommendation Letter
10

Policy Administration & Document Work

Policy administration generates enormous volumes of PDF documents — schedules, wordings, endorsements, certificates of currency. Claude reads, compares, summarises, and extracts data from these documents at speed. This module builds practical skills in PDF work, policy comparison, and document production in Word and PDF formats.

What You Will Learn

Upload and extract key terms, conditions, and exclusions from a policy wording PDF
Compare two policy wordings side-by-side and produce a written differences summary
Draft endorsement requests and policy amendment correspondence
Extract premium and coverage data from multiple policy schedules into a comparison table
Produce Certificates of Currency and coverage summaries in professional Word format
Use Claude in Excel to build a policy register and premium tracking worksheet
TIPUpload two competing policy wordings and ask Claude: “Compare these policies and highlight any clauses where Policy B provides narrower cover than Policy A.” This takes 30 seconds and gives you a defensible written comparison you can share with the client.
Duration: 40 minutes   
🔬Lab 10: Policy Administration — PDF Comparison & Document Production
11

Claims Management Support

Claims are where clients judge their broker most harshly. Fast, accurate communication with insurers, loss adjusters, and clients is critical. Claude assists at every point: drafting initial notifications, summarising assessor reports, comparing the insurer’s settlement position against the policy wording, and drafting advocacy letters when a claim is disputed.

What You Will Learn

Draft an initial claims notification to the insurer from brief client notes
Summarise an assessor or loss adjuster report into a client-friendly update
Compare the insurer’s declinature letter against the policy wording to identify grounds for dispute
Draft a formal claims advocacy letter to the insurer on behalf of the client
Prepare an AFCA complaint if the insurer’s position remains unreasonable
Maintain a claims log in Excel with Claude generating tracking formulas and summaries
TIPWhen a claim is declined, upload the declinature letter and the policy wording and ask Claude: “Does the insurer’s stated reason for declining align with the policy exclusion? Are there grounds to challenge this decision?” This is an excellent starting point for your advocacy.
Duration: 40 minutes   
🔬Lab 11: Claims Management — Notification to Advocacy
12

Compliance & Regulation

Compliance is a constant obligation for Australian and NZ brokers operating under AFSL conditions. Claude surfaces the latest ASIC regulatory guides, ICA Code of Practice requirements, AFCA complaint-handling rules, and Privacy Act obligations — and cross-checks your correspondence and advice against them in seconds.

What You Will Learn

Use Claude to search ASIC’s regulatory guide library for current obligations
Cross-check broker correspondence against ICA Code of Practice and AFSL conditions
Stay current with AFCA complaint-handling process updates using Claude’s live web search
Apply Australian Privacy Act 1988 and NZ Privacy Act 2020 requirements to client data handling
Generate a compliance checklist for a specific advice scenario
Document compliance decisions for audit trail purposes under AFSL obligations

Key Regulatory Frameworks Covered

Corporations Act 2001 (Cth) — AFSL obligations, best interests duty, conflicted remuneration
ASIC Regulatory Guides — RG 175 (AFS Licensing), RG 244 (Client Review and Remediation)
Insurance Contracts Act 1984 (Cth) — duty of disclosure, utmost good faith
ICA General Insurance Code of Practice 2020 — claims handling timeframes, complaints
AFCA Complaint Handling — IDR/EDR process, time limits, AFCA jurisdiction
Privacy Act 1988 (Cth) / NZ Privacy Act 2020 — APPs, data breach notification
TIPCreate a ‘Compliance’ Project and populate it with saved ASIC regulatory guides and ICA Code extracts. Every compliance query then runs against your curated knowledge base — not just Claude’s training data.
Duration: 40 minutes   
🔬Lab 12: Compliance — Current Obligations & Cross-Checking
13

Client Sentiment & Retention Insights

Client retention is the most profitable focus for any brokerage. Claude analyses communication patterns, policy history, claims experience, and renewal behaviour to surface churn risk signals and suggest proactive retention actions before clients lapse.

What You Will Learn

Analyse email threads and meeting notes for sentiment signals that predict churn risk
Build a simple client retention scoring model in Excel using Claude to define the criteria and formulas
Identify at-risk clients from a sample pipeline report and prioritise outreach
Draft personalised retention outreach emails for clients at different risk levels
Design a proactive client contact programme with Claude generating the schedule and content templates
TIPPaste the last three email exchanges with a client whose renewal is coming up and ask Claude: “What is the tone of this correspondence? Are there any signals that this client is dissatisfied or shopping the market?” You may be surprised what it notices.
Duration: 30 minutes   
🔬Lab 13: Client Sentiment — Churn Signals & Retention Outreach
14

Reporting & Business Intelligence

Data is the most underused asset in most brokerages. Claude turns brokerage data — premium income, policy counts, claims ratios, renewal pipeline — into meaningful reports and insights. We work with Excel for day-to-day reporting and Power BI for deeper analytics, using Claude to write the formulas, generate the commentary, and surface the insights that matter.

What You Will Learn

Build a monthly premium income report in Excel from exported brokerage data
Ask Claude to write and explain DAX measures and calculated columns for Power BI
Have Claude recommend the best chart or visual type for your specific data
Use Claude to write the narrative commentary that accompanies a board or management report
Build a client profitability model with Claude generating the financial formulas and structure
Troubleshoot Power BI errors by sharing the error message directly with Claude
TIPPaste your DAX error message directly into Claude. It diagnoses the problem and provides a corrected formula almost every single time. Stop spending an hour debugging a calculated column.
Duration: 40 minutes   
🔬Lab 14: Reporting — From Raw Data to Board-Ready Insights
15

Claude for Underwriters

Underwriters face their own productivity challenges — reviewing broker submissions, assessing risk quality, drafting terms and conditions, managing referrals, and reporting on portfolio performance. This module covers the use cases where Claude delivers the most value for underwriting teams.

What You Will Learn

Summarise a broker submission and flag any information gaps or red-flag risk characteristics
Draft indicative terms and conditions for a standard risk class from a submission summary
Compare two competing broker submissions for the same risk and produce a side-by-side analysis
Generate a referral memo with a recommended risk appetite response and pricing rationale
Analyse a portfolio loss run and surface claims frequency and severity trends by class
Use Claude to check proposed terms against your underwriting guidelines and authority limits

Underwriter-Specific Workflows Covered

Submission Triage Rapidly review and score inbound submissions against underwriting criteria
Terms Drafting Generate first-draft terms, conditions, subjectivities, and exclusions from submission data
Portfolio Loss Analysis Identify frequency and severity patterns in claims data across the book
Pricing Commentary Draft the pricing rationale and risk commentary required for file documentation
Referral Memos Produce structured referral memos with risk summary, appetite assessment, and recommendation
Renewal Review Summarise expiring terms, claims experience, and market movement for a renewal decision
TIPUpload a loss run in PDF or Excel and ask Claude: “Identify the top three contributing causes of loss and flag any accounts with a loss ratio above 80% in the last three years.” This takes under a minute and replaces an hour of spreadsheet work.
Duration: 40 minutes   
🔬Lab 15: Claude for Underwriters — Submission to Portfolio Insight
16

Working Safely — Governance, Monitoring & Data Controls

As Claude becomes embedded in brokerage workflows, governance becomes essential. This module covers how to monitor what Claude is doing on your behalf, set permission boundaries, build an audit trail for compliance purposes, and write the organisational policy document that governs how your brokerage uses AI under AFSL obligations.

What You Will Learn

Access and interpret Claude’s activity and conversation logs
Review what actions agents have taken across all connected tools and Connectors
Set spending, usage, and rate limits to avoid unexpected costs or unintended actions
Apply the principle of least privilege to all MCP and Connector access
Build a human-approval checkpoint into high-risk automated workflows
Draft an AI Governance Policy for your brokerage covering Australian data requirements and AFSL obligations
Identify AI hallucinations and build a habit of systematic verification for regulated advice tasks
TIPReview your activity log weekly during the first month. Once you understand how Claude behaves in your environment, monthly reviews are fine — but never remove oversight entirely. ASIC expects that any AI tool used in advice workflows has been subject to appropriate human oversight.
Duration: 30 minutes   
🔬Lab 16: Governance — Policy, Permissions & Audit
17

Social Media, Marketing & Client Communications

Insurance brokers are increasingly expected to maintain a consistent professional presence online. Claude writes platform-optimised content for LinkedIn and Facebook, generates client newsletter copy, drafts thought leadership articles, and builds content calendars — all in your authentic voice and within ASIC’s financial services advertising obligations.

What You Will Learn

Build a 30-day content calendar for LinkedIn and Facebook focused on risk education
Write platform-optimised posts that stay within ASIC’s financial services advertising rules
Draft a monthly client newsletter covering premium market movements and coverage tips
Repurpose a technical article or report into a week of short-form social content
Draft professional, on-brand responses to client reviews and social media comments
TIPGive Claude your brokerage brand voice guidelines, three examples of posts you like, and ASIC’s advertising guidance for financial services. Claude will stay compliant and sound like you — not generic AI output.
Duration: 30 minutes   
🔬Lab 17: Marketing — Content Calendar & Client Newsletter
18

Build a Broker Compliance Skill & Launch a Compliance App

The headline session of the day. You will build two things: first, a production-ready Insurance Broker Compliance Skill that uses live web search to pull the latest Australian and NZ regulatory requirements; and second, a working web application that any broker in your team can use to check correspondence and advice against current compliance obligations. No coding experience required.

Part A — A Claude Skill is a reusable instruction set with defined inputs, a structured process, and a consistent output format. The Compliance Checker Skill accepts a piece of broker correspondence or advice document, searches ASIC’s regulatory guide library and the ICA Code for current requirements, and outputs a RAG compliance assessment with specific regulatory references and recommended corrections.

What You Will Learn

Write and test the Insurance Broker Compliance Skill from scratch
Connect the Skill to live web search so it always retrieves current regulatory requirements
Use Claude Artifacts to specify, build, and test the compliance app interface in plain English
Wrap the Compliance Skill in an API call inside the app so the logic is centralised and reusable
Deploy the app to the web using a free hosting service and share the live URL with your team
Update the Skill when regulations change — keeping the app current without rebuilding it

Part B — Compliance App Features You Will Build

Document Input Paste or upload a policy letter, SOA, or advice email
Jurisdiction Selector Choose Australian or New Zealand regulatory framework
Class Selector General insurance, life, health, or investment-linked
Compliance Assessment RAG rating output (Red / Amber / Green) with specific regulatory citations
Corrected Draft Suggested rewrite of any non-compliant sections
Export to PDF Download the assessment for your compliance audit file
TIPStart with one compliance scenario — for example, “Does this renewal letter meet ASIC’s requirements for providing general advice?” — and build the Skill around that. Once it works for one scenario, expanding it to other compliance checks is straightforward.
Duration: 60 minutes   
🔬Lab 18: Build the Compliance Skill & Launch the App

About our AI training courses…

All of our courses can be attended as online live instructor-led classes, on-demand self-paced, or organised as private training for you and your team.

All of our courses include:

Expert instructors with real-world subject matter expertise. We will know the answers to your questions.
Hands-on labs in self-contained environments — so you can get your hands dirty without risk to your own data or systems.
Real-world scenarios, examples, and exercises designed around actual brokerage and underwriting workflows.
Learn-by-doing: listen to the instructor, then immediately practise in the hands-on lab.
Safe, secure lab environments using trial and test accounts — never your own production data.
Access to your expert trainer and our support helpdesk after the course for any questions or issues.
Access to your lab environment after the course is completed so you can finish anything you did not complete in class.
Over the last 20 years, our courses have been attended by thousands of students worldwide. We create courses for Microsoft, Skillsoft, and other learning partners.

Need more than just training?

There are significant risks if AI is not implemented properly in your brokerage.

These risks can be significantly mitigated by attending one of our courses, raising awareness, and making the right decisions from the beginning. If you need further help, consider our private one-on-one engagements where we help you discover, set up, and train your team.

The risks:

Uncontrolled AI agents and automation leading to errors or unintended client outcomes
Security vulnerabilities from improper tool permissions or client data access
Compliance failures resulting from AI-generated advice that has not been reviewed
Lack of governance resulting in inconsistent or non-compliant broker behaviour
Poor adoption due to inadequate training and change management
Integration failures or scope creep without a clear brokerage AI strategy
Improper AI solution selection from lack of awareness in the due-diligence phase

How we can help:

Comprehensive discovery and strategic roadmap to align AI with your brokerage's goals
Robust security framework with strict tool permissions, data controls, and audit logging
Enterprise-grade governance and guardrails to ensure safe, reliable agent behaviour under AFSL obligations
Tailored training and adoption programs so your team confidently uses and manages Claude
Ongoing support and monitoring to maintain performance, compliance, and value realisation

Contact us for more options and to book a free one-on-one consultation.

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AI-Powered Legal Expertise for the Future of Law.

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Transform Workforce Management with AI-Powered Solutions.

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Maximizing Returns with AI-Driven Financial Strategies.

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Revolutionize Supply Chain Efficiency with AI-Driven Innovation.

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AI Leadership for Chief Officers: Driving Innovation and Intelligence.

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AI in Real Estate: Pioneering the Future of Property Innovation.

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AI-Driven Learning: Redefine Education Through Innovation.

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This course is designed to be an engaging, instructor-led adventure into building and using AI agents with OpenClaw – the open-source personal AI assistant.

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A workshop for Insurance Brokers that are curious about how they can use AI Agents in their business. Including Claude AI, OpenClaw and Microsoft Copilot.

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This course is instructor-led training to introduce you to Anthropic Claude AI.

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This training introduces students to the latest version of the Anthropic Claude AI suite of tools and how they can be used by a Marketing team to become more efficient and productive with AI.

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This training course is a comprehensive deep dive into how Power BI report authors can use Claude AI to become more productive and efficient using the latest AI tools.

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This training introduces students to the latest version of the Anthropic Claude AI suite of tools and agents for Businesses and Founders.

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This training introduces students to the latest version of the Anthropic Claude AI suite of tools and agents for Finance Teams

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This training introduces students to the latest version of the Anthropic Claude AI suite of tools and agents for Sales Teams.

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A 2-day intensive course that teaches you how to move beyond basic prompting to build powerful, production-ready Context Engines powered by specialised multi-agent architectures, dynamic RAG, and intelligent orchestration.

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This 2-day strategic leadership course provides executives and senior decision-makers with a clear, non-technical understanding of the Model Context Protocol (MCP) and its transformative impact on modern AI strategy.

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