AI TRAINING

Your team has AI tools. They don't know how to use them.

We run training that fixes this. Knowledge workers learn ChatGPT, Claude, and Gemini by doing their actual work. Developers learn AI-assisted coding from fundamentals to agentic workflows. Everyone leaves with methods they can use and outcomes they can measure.

Built by founders with experience at Goldman Sachs, JPMorgan, Uber, and Aurelius.

Workshops for teams Developer programs

THE GAP

Most AI training is a waste of money.

Here's what usually happens. Company buys AI training. Team attends a workshop. Everyone's engaged for a few days. Then nothing changes. People go back to old habits because the prompts they learned don't fit their actual jobs. The tools they practiced aren't approved by IT. The ROI projection they saw never materializes.

And that's when training happens at all. BCG found that 70% of companies have trained fewer than one in four employees on AI. The minority who do invest in training often get generic workshops that don't connect to actual workflows—so the spend disappears into the same gap.

70%

Of companies have trained less than 1 in 4 of their workforce

BCG AI Radar, 2025 (n=1,803)

HOW THIS WORKS

Training from people who build AI systems for a living.

We've built AI systems at Goldman Sachs and JPMorgan. Production systems. Thousands of users, compliance review, real money on the line. The workflows we teach are the ones we use. The mistakes we warn you about are ones we've made.

Any model. Any task.

43% of enterprise employees already use multiple AI models. We teach ChatGPT, Claude, and Gemini side by side. Same task, different model, compare outputs. Your team learns to pick the right tool instead of defaulting to whatever they downloaded first.

Anthropic Economic Index, November 2025

Time savings you measure, not imagine.

Every participant gets an ROI tracking worksheet. We measure baseline before the workshop. You measure again at 30 days. Most teams log 3–5 hours saved per person per week within the first month. If they don't, we want to know why.

THE CURRICULUM

200+ hours documented. You get the version that works.

Every session draws from a curriculum we've documented, tested, and revised over two years - spanning knowledge work and software development. We don't improvise. We teach what's already working in production environments at enterprise scale.

What we teach

Practical methods that work across roles and tools.

Structured prompting: Frameworks like CRISP (Context, Role, Instruction, Specificity, Practical examples) for reliable AI outputs.
Cross-model evaluation: Compare outputs across ChatGPT, Claude, and Gemini. Pick the right tool for each task.
AI-assisted development: From copilot configuration to agentic workflows. Maintain skills while increasing velocity.
Security and compliance: Data handling protocols, audit trails, governance frameworks that pass compliance review.

This isn't abstract theory. These are the methods we use every day.

Curriculum tiers (overview)

Tier	Hours	For	Outcome
T1 Foundation	2-6	Executives, first-time users	Strategic clarity, 2-3 hrs/week saved
T2 Practitioner	4-16	Knowledge workers, junior developers	Workflow adoption, 3-5 hrs/week saved
T3 Power User	16-30	Team leads, experienced developers	Team scaling, AI-assisted coding fluency
T4 Specialist	40-60	Senior developers, tech leads	Agentic workflows, production capability
T5 Architect	80+	Platform teams, transformation leaders	Autonomous operations, org-wide strategy

Knowledge worker workshops cover T1–T3. Developer programs span T2–T5 depending on experience level.

Why it's hands-on: Research consistently shows active learning improves skill retention and reduces failure rates compared to lecture-based instruction. That's why 60–70% of our workshop time is practice, not slides.

Freeman et al., "Active learning increases student performance," PNAS 2014; Kolb, Experiential Learning, 2nd ed., 2015

Request full curriculum

WHO BOOKS THIS

Teams where AI saves hours, not minutes.

If your work involves research, writing, analysis, or documentation, AI can recover significant time. We've trained teams across finance, legal, marketing, product, operations, engineering. The pattern isn't department. It's work type.

Research, analysis, writing, communication

The work that fills your calendar but doesn't require your expertise. Competitive analysis. Variance narratives. Status updates. Meeting prep. First drafts.

Roles: Analysts, associates, managers, coordinators

Requirements, roadmaps, competitive intelligence

PRDs that took a day take an hour. User stories write themselves. Competitive analysis becomes a weekly habit instead of a quarterly fire drill.

Roles: Product managers, strategists, business analysts

Code review, documentation, debugging

80.2% time savings on computer and mathematical tasks. Documentation that used to get skipped gets written. Code reviews move faster. Architecture decisions get a second opinion.

Roles: Engineers, data analysts, technical writers

Anthropic Economic Index, November 2025

Variance narratives, process docs, audit prep

83.5% time savings on business and financial tasks. Month-end narratives. Compliance documentation. Process SOPs. The work that matters but never feels urgent.

Roles: Financial analysts, ops managers, compliance officers

Anthropic Economic Index, November 2025

Not sure if your team fits? Book a 15-minute call. We'll tell you honestly if we can help and recommend alternatives if we can't.

WORKSHOPS

Pick a format.

2 HOURS

Executive AI Briefing

Ideal for: Executives and board members who need to make AI decisions without getting sold.

Separate what's real from what's hype. Leave with a shortlist of AI use cases worth funding and a framework for vendor and risk decisions.

Briefing deck you can share with your board
Use case backlog scored by effort and impact
Vendor evaluation checklist

6–15 executivesOnline or in-person

Full agenda, deliverables & pricing details

Why this exists

Every vendor in your inbox is pitching AI solutions. You need a framework to evaluate what's real, what's possible, and what's worth budget. You need it from someone who isn't trying to sell you software.

Pricing details

Online: £3,000

In-person: £4,000

6-15 executives
In-person excludes travel (billed at cost with receipts)

Agenda

We explain what AI can and can't do without vendor spin
You identify 3-5 use cases worth pursuing at your organization
You leave with a risk framework for AI investment decisions
You get a checklist that separates good AI vendors from bad ones

Deliverables

Briefing deck you can share with your board
Use case backlog scored by effort and impact
Vendor evaluation checklist

HALF DAY

Team Bootcamp

Ideal for: Knowledge workers, product teams, technical staff.

Hands-on practice using your team's real work. People leave same day with workflows, templates, and ROI tracking you can measure at 30 days.

Build workflows using your actual work, not hypotheticals
Prompt playbook: 30+ templates organized by function
ROI tracking worksheet with baseline and 30-day measurement

6–15 peopleOnline or in-person

Full agenda, deliverables & pricing details

Why this exists

Some people on your team save hours every week with AI. Most don't. They're stuck at basic prompts that produce mediocre outputs, or they gave up after a few bad experiences. This workshop closes the gap.

Pricing details

10-15 people: £6,500 online / £8,750 in-person

6-9 people: £5,000 online / £6,750 in-person

In-person excludes travel
Fewer than 6? See Custom Deep-Dive.

Agenda

Learn structured prompting techniques that produce reliable outputs
Run the same task through ChatGPT, Claude, and Gemini to see which wins
Build workflows using your actual work, not hypotheticals
Cover data privacy from minute one: what you can share, what you can't

Deliverables

Prompt playbook: 30+ templates organized by function
Use case library specific to your roles
ROI tracking worksheet with baseline and 30-day measurement

CUSTOMDuration varies by scope

Custom Deep-Dive

Ideal for: Enterprise teams, regulated industries, complex requirements.

Custom training plus governance built around your compliance, data restrictions, and industry context - so adoption is safe and actually sticks.

Governance framework built for your compliance environment
Use case backlog with compliance annotations
30/60/90-day implementation roadmap

Scope-based durationOnline or in-person

Full agenda, deliverables & pricing details

Why this exists

Off-the-shelf training doesn't work when you have specific compliance requirements, data restrictions, or industry context that generic workshops ignore. We build training around your constraints, not the other way around.

Scoping

Schedule discovery call

Duration and scope determined in discovery
Online or in-person delivery available

Agenda

Discovery session with your stakeholders before we write anything
Custom curriculum for your industry: finance, legal, healthcare, professional services
Labs using your actual workflows, anonymized where required
Governance framework built for your compliance environment

Deliverables

Custom curriculum document you can reuse for internal training
Use case backlog with compliance annotations
30/60/90-day implementation roadmap

FOR DEVELOPERS

AI-assisted development training.

Your team has AI tools. They don't know how to use them without losing their skills. We run programs that fix this - from fundamentals to full autonomy.

FUNDAMENTALS

AI-Assisted Coding Fundamentals

Ideal for: Developers new to AI-assisted coding who want to increase productivity without compromising skill development.

Learn what AI can and can't do reliably. Leave with copilot patterns, prompting skills, and skill-preserving habits from day one.

Understand AI capabilities and limitations
Configure codebase for AI effectiveness
Apply structured prompting to coding problems
Practice Generation-Then-Comprehension pattern

10-20 participantsOnline or in-person

Full agenda, deliverables & pricing details

Why this exists

Your developers have access to Copilot and ChatGPT but most are using them ineffectively. They either over-rely on AI and lose skills, or avoid it entirely. This program teaches the fundamentals of effective AI-assisted coding.

Pricing details

Intensive: £6,000 in-person / £4,500 online

Blended: £5,500 online

10-20 participants
In-person excludes travel

Agenda

Learn what AI can and can't do reliably for coding tasks
Configure your codebase and tools for maximum AI effectiveness
Apply structured prompting techniques to coding problems
Practice the Generation-Then-Comprehension pattern

Deliverables

Copilot configuration guide for your stack
Prompting playbook for common coding tasks
Skill-preservation checklist

FLAGSHIP

Agentic Development Workflows

Ideal for: Development teams, squads, and tech leads scaling AI adoption.

Terminal-native AI tools, task delegation, spec-driven development. Your team learns to orchestrate AI agents while preserving their skills.

Configure Claude Code, Codex, and OpenCode for daily workflows
Delegate tasks to AI agents with maintained understanding
Implement spec-driven development with SpecKit
Design human-in-the-loop approval patterns
Ensure compliance through audit logging

8-16 participantsLive + async delivery

Full agenda, deliverables & pricing details

Why this exists

Your team is ready to move beyond basic AI assistance. They need to orchestrate AI agents for complex tasks while maintaining code quality and understanding. This program teaches agentic workflows that scale.

Pricing details

8-16 participants: £12,000–£18,000 based on team size

Includes all tooling setup
Prerequisite: AI-assisted coding experience

Agenda

Configure terminal-native AI tools for your development environment
Learn task delegation patterns that maintain developer understanding
Implement spec-driven development with SpecKit
Design human-in-the-loop approval workflows
Set up audit logging and compliance frameworks

Deliverables

Agentic workflow templates for your stack
SpecKit configuration and templates
Compliance and audit framework

ADVANCED

Autonomous AI Development Operations

Ideal for: Senior engineers, tech leads, and platform teams deploying AI at organizational scale.

Production-ready autonomous development systems. Ralph Loops methodology, multi-agent orchestration, comprehensive governance.

Design autonomous execution architectures
Implement Ralph Loops for iterative autonomous development
Orchestrate multi-agent systems at production scale
Integrate autonomous agents into CI/CD pipelines
Apply governance frameworks for autonomous systems

6-12 participantsPrerequisite: Agentic Development Workflows

Full agenda, deliverables & pricing details

Why this exists

Your organization is ready for autonomous AI development at scale. You need production-grade systems, multi-agent orchestration, and comprehensive governance. This program builds those capabilities.

Pricing details

Schedule discovery call

Scope determined in discovery
Prerequisite: Agentic Development Workflows

Agenda

Design autonomous execution architectures for your organization
Implement Ralph Loops methodology for iterative development
Build multi-agent orchestration systems
Integrate autonomous agents into CI/CD pipelines
Deploy governance frameworks for autonomous systems

Deliverables

Autonomous architecture blueprints
Ralph Loops implementation guide
Multi-agent orchestration templates
Governance and compliance framework

THE RESEARCH

We cite 84% as the ceiling. Then we discount for reality.

In November 2025, Anthropic analyzed 100,000 real AI conversations to measure actual productivity gains. Not surveys. Not lab experiments. Real work from paying users. The median time savings across all tasks: 84%. We use that number as the upper bound, then apply adoption factors so your finance team can audit the math.

84%

Median time savings across all tasks

Tamkin & McCrory, “Estimating AI Productivity Gains from Claude Conversations,” Anthropic Economic Index, November 2025

83.5%

Time savings on business and financial tasks

1.5-hour tasks drop to approximately 15 minutes

85.1%

Time savings on management tasks

Highest category in the study

100,000

Conversations analyzed

Real work, not experiments

Occupation-specific findings

Role	Time savings (rounded)
Finance & Accounting	~84% time savings
Management & Executives	~85% time savings
Product & Engineering	~80% time savings
Marketing & Communications	~79% time savings
Legal & Compliance	~81% time savings
Operations & Admin	~68% time savings

Enterprise roles mapped from Anthropic Economic Index SOC occupation categories (February 2025, 100K+ conversations).

Tamkin & McCrory, Anthropic Economic Index, November 2025. Wage data from OEWS May 2024.

Sample ROI: Team Bootcamp

£6,500 for 15 people

Applies Anthropic's 80–83.5% savings to 20–25% of AI-suitable work hours with 50–60% adoption factor.

Metric	Conservative	Moderate
Hours saved/week per person	3.2	5.0
Team hours saved/week	48	75
Annual hours saved	2,400	3,750
Value at £40-50/hour	£96,000	£187,500
Payback period	Under 4 weeks	Under 2 weeks

What Anthropic's study doesn't count

Time spent refining outputs across multiple sessions
Quality verification: checking that AI got it right
Learning curve for new users
Task selection bias: study measures tasks people chose to bring to AI

Past controlled experiments found 14–56% savings for untrained users. Our training exists to close the gap between those numbers and the 84% ceiling.

Sources for limitations context: BCG/Harvard Business School, 2024; Penn Wharton Budget Model, 2025

Request custom ROI analysis

STRAIGHT TALK

Pricing questions answered.

Why is in-person 35% more expensive?

In-person delivery requires additional preparation, travel time, and facilitator commitment. The 35% premium reflects real costs, not arbitrary markup. Travel expenses are billed separately at cost with receipts provided.

£433 per person for half a day. How do you justify that?

We give you the worksheet to justify it yourself. 15 people saving 3 hours per week equals 45 team hours weekly equals 2,250 hours annually. At £40/hour loaded labor cost, that's £90,000 in recovered time. £6,500 investment. Payback: under 4 weeks. You'll have the numbers to verify.

Source for ROI methodology: Federal Reserve Bank of St. Louis, 2025

We have fewer than 6 people.

Very small teams typically have different needs: more senior, requiring more personalized attention and custom workflow integration. We recommend Custom Deep-Dive for groups under 6, which lets us tailor the engagement precisely rather than fitting you into a standard format.

Why isn't Custom Deep-Dive pricing displayed?

Because every engagement is genuinely different. A Custom Deep-Dive for a fintech startup looks nothing like one for a pharmaceutical company's compliance team. We'd rather understand your needs first and propose something that actually fits, than publish a number that might be too high or too low for your situation.

Can we start with a Bootcamp, then upgrade to Deep-Dive?

Yes. Many clients do exactly this. Team Bootcamp is a great way to prove value and build internal momentum before committing to a larger transformation. If you progress to Custom Deep-Dive within 12 months, we apply a 10% loyalty discount.

Do you have client references?

Our founders built AI at Goldman Sachs and JPMorgan before starting Excetra. For references from our consulting work specifically, ask us directly. We'll connect you with clients who've agreed to speak with prospects.

NEXT STEP

Ready to talk?

Every engagement starts with a conversation. No pitch deck. No sales pressure. A founder who builds AI professionally answering your questions.

Book a call

Your team has AI tools. They don't know how to use them.

Built by founders with experience at Goldman Sachs, JPMorgan, Uber, and Aurelius.

Tier

Hours

For

Outcome

T1 Foundation

2-6

Executives, first-time users

Strategic clarity, 2-3 hrs/week saved

T2 Practitioner

4-16

Knowledge workers, junior developers

Workflow adoption, 3-5 hrs/week saved

T3 Power User

16-30

Team leads, experienced developers

Team scaling, AI-assisted coding fluency

T4 Specialist

40-60

Senior developers, tech leads

Agentic workflows, production capability

T5 Architect

80+

Platform teams, transformation leaders

Autonomous operations, org-wide strategy

We cite 84% as the ceiling. Then we discount for reality.

Role

Time savings (rounded)

Finance & Accounting

~84% time savings

Management & Executives

~85% time savings

Product & Engineering

~80% time savings

Marketing & Communications

~79% time savings

Legal & Compliance

~81% time savings

Operations & Admin

~68% time savings

Metric

Conservative

Moderate

Hours saved/week per person

3.2

5.0

Team hours saved/week

Annual hours saved

2,400

3,750

Value at £40-50/hour

£96,000

£187,500

Payback period

Under 4 weeks

Under 2 weeks