AI adoption — not just AI access
Stop watching. Start building.
Get your teams doing real work with AI.
FirstSparks is a small, hands-on team that helps executive, finance, and analytics teams build AI into the way they actually work — and trains them to keep going without us.
- Senior team, no pyramid
- Analytics & finance depth
- You keep the assets
The gap
AI is being installed. People are unchanged.
The licences went up. The workflows didn't. Most teams get access, a launch email and a webinar — then go back to doing the work the way they always did. Adoption isn't a tooling problem. It's a habit problem, and habits are taught.
Not this
- Install software
- Deliver strategy decks
- Build dependency
- Create spectators
This
- Create builders
- Install capability
- Trigger momentum
- Make transformation visible
What we do
Three ways in. One outcome.
From “we have AI” to “we use AI.”
Short engagements with a named measure agreed before we start. We embed with the team, work in your real processes, and leave the capability behind.
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01
Vision
AI blueprints that get teams moving. Set the vision and the narrative for what AI means here: where it creates real value, what's hype, and how leadership carries the rollout. A clear story your teams can act on.
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02 Where we're focused now
Ignite
Hands-on labs that light the fuse. Half-day intensives, role-specific — analytics, finance, ops. Your own data, your own workflows, real output by the end of the session. Habits, not webinars.
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03
Prove
Magic with a P&L attached. Every engagement ships a measurable outcome and a plan for what happens next — reusable Skills, automations and tools built into the processes you already run.
Who we help
Built for the teams where AI pays off fastest.
We work with mid-sized companies that already pay for AI and aren't yet getting the return. The pattern holds across functions — but the fastest, most defensible wins land in analytics and finance, where the work is structured, repetitive and measurable.
Executive teams
Strategy, confident adoption and governance. Enough fluency to tell a real opportunity from a demo, set the direction, and back it credibly in front of a board.
Analytics & finance teams
The daily workflows. Where AI stops being a novelty and starts taking hours out of the month-end, the forecast and the board pack.
Where it lands first
- Variance and month-end analysis in a fraction of the time
- Forecasting and scenario modelling, with the drivers stress-tested
- Board and briefing decks, drafted from your own data
- Reporting and reconciliation automation that runs on a schedule
- Cited, trustworthy data Q&A — answers you can defend in the room
Which one are you today?
Every team has all five. We meet each of them where they are — and move them right.
- Reluctant Explorer “Not against AI. Just not sure it won't embarrass me.”
- Skeptic “I use it — but I don't trust the output.”
- Chaos Tester “I throw everything at it and see what sticks.”
- Efficiency Ninja “If it saves me ten minutes, I'm already in.”
- Systems Wizard “I've built repeatable setups — not just prompts.”
How we work
You lead. AI amplifies.
Small team. Senior hands. Fast.
Embedded & practical
We work inside your real workflows and your real data — not a generic sandbox. What we build in the room is what you use on Monday.
Fast & mobile
Senior practitioners, no delivery pyramid. We deploy quickly and adjust in days, not quarters. You get the people who do the work.
Built to last
You keep trained people plus reusable Skills and tools, so the capability doesn't leave when we do.
The method we teach: DDDD
A better setup beats a better model. Four habits that make the difference between a team that plays with AI and a team that ships with it.
- Delegation
- Decide what AI should touch — and what it never should — before anyone writes a prompt.
- Description
- The setup is the skill. Context, goal, audience, constraints, format, example.
- Discernment
- Read the output like an editor, not a fan. Fluent does not mean correct.
- Diligence
- Right tool, right data, right disclosure, right verification. Could you defend it tomorrow?
How an engagement runs
- Assess
- Train
- Integrate
- Hand off
Results
A better setup beats a better model.
Outcomes, not slideware.
We're new enough that we'd rather show you the method and the material than dress up a case study. Every engagement names its measure before we start — and here's what we've already built to get teams there.
- 7 / 18Sessions and hands-on exercises in the Claude for Excel track, through to SQL, live APIs and scheduled briefings.
- 3 / 9Sessions and exercises in the Claude for presentations track — analysis to a deck you present the same afternoon.
- 21Reusable Skills your team downloads and keeps. The first version is yours; the third version is the team's.
The workflows we teach
- Cell-cited Q&A over a workbook you didn't build
- Variance commentary you can put your name on
- Three-scenario forecasts with the drivers stress-tested
- Profiling an unfamiliar SQL warehouse, read-only
- Joining live third-party data and proving the join
- Regression plus an adversarial robustness pass
- Self-contained HTML briefings that work offline
- Scheduling the whole pipeline so it runs without you
About
A small senior team that has done the work.
FirstSparks is a small group of practitioners — people who have run analytics and finance functions, built the tooling, and sat in the rooms where the numbers get challenged. We're deliberately small: you get senior people in the room, we move quickly, and we're gone once the capability sticks.
Make capability contagious
Ready to get more from the AI you already pay for?
A short conversation, no pitch. We'll tell you where AI will and won't help your teams.