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Flexible systems survive the AI shift. We build them.
A 3-week AI readiness sprint for startups. Find where AI fits in your product and operations — and walk away with a plan to ship it.
3 weeks
Sprint length
2 tracks
Product + Ops
6 deliverables
Everyone's adding AI. Most teams are guessing.
- Hard to tell what's actually worth building
- Few teams have in-house AI experience
- Trying things out gets expensive fast
- Building too much slows everything down
- Most internal work is still done by hand
We need AI everywhere
Pick a few specific places to use AI
We need ML models
APIs are usually enough
We need infrastructure
Start lean, build the rest later
We need more people
AI should reduce the work, not add to it
!
The risk isn't being late to AI. It's spending money on the wrong AI.
Our approach to AI that works
Find AI opportunities that actually matter
Most teams waste time exploring AI features that don't move the needle. We audit your product and operations to identify the 2-3 places where AI will create real value—whether that's improving user experience, automating repetitive work, or unlocking new capabilities your competitors can't match.
From insight to implementation in weeks, not months
After we identify where AI fits, we build you a concrete roadmap with priorities, timelines, and technical architecture. No hand-waving or vague recommendations—just a clear plan your team can execute on, with optional prototype delivery in week 4 to prove it works.
Introducing AI Fast Start
A 3-week program for early-stage startups who want to put AI to work without overbuilding.
AI Fast Start Program
Product
- 01Find where AI fits inside your product
- 02Check what's realistic to build
- 03Pick the features worth building first
- 04Lay out a roadmap your team can actually follow
Operations
- 01Find the bottlenecks in how your team works
- 02Bring in AI tools that fit your stack
- 03Automate the boring, repetitive work
- 04Set up day-to-day AI habits for the team
Track 01 · Product AI Readiness
Where should AI live in your product?
What we figure out: What we figure out: where AI helps users, and what your team can realistically build.
01
Where AI actually helps users02
What's realistic to build with your stack03
Which features come first04
How and when to build themPillars
We map your product's current landscape — user journeys, pain points, and competitive positioning — to identify exactly where AI creates genuine value rather than novelty.
See if your team qualifies
Find out in a 30-minute call whether this program fits your team.
What you walk away with — in 3 weeks
AI Opportunity Map
A full audit of your product and operations, with a list of every place AI is worth using.
Product AI Roadmap
Prioritized feature list with timelines, dependencies, and rough effort estimates.
Architecture Notes
Feasibility notes and a recommended technical stack: APIs, models, infra.
Workflow Analysis
A report on where your team's time is going and which parts are worth automating.
AI Tool Stack
Tool recommendations for product and ops, picked based on what your team will actually use.
Team AI Playbook
Day-to-day usage patterns, prompts, and habits for the whole team.
Is this right for your team?
Best fit for
- Pre-seed to Series A startups that want results fast
- Small product teams (2 to 15 people) who need to move quicker
- Founders thinking about adding AI features
- Teams trying to do more without hiring more people
Not ideal for
- Large enterprises with rigid procurement cycles
- Heavy ML research teams building proprietary models
- Late-stage scaleups that already have AI infrastructure in place
