AI Discovery Sprint
Find where AI pays off in your software.In two weeks.
A fixed-price sprint with the senior engineers who would build your system. You leave with prioritized use cases, honest feasibility, and a roadmap you can execute with us or without us.
Fixed price · 100% credited toward implementation · remote, in your time zone
Four deliverables. Zero slideware.
What you walk away with
01
AI opportunity map
Every workflow and feature where AI could create value in your product or operations, mapped against your data reality.
02
Prioritized use cases with ROI estimates
Ranked by impact, cost, and time-to-value: the two or three worth building first — and the ones not worth building at all.
03
Technical feasibility & data requirements
What your systems and data can support today, what needs preparation, and the integration points involved.
04
Pilot definition & execution roadmap
Scope, milestones, and budget for the first build. Yours to execute with us or without us.
Two weeks, four moves
How it runs
Days 1–2
Immersion
Kickoff with your team, then a deep dive into your software, workflows, and data.
Days 3–5
Mapping
Opportunity mapping across product and operations, with first feasibility checks against your real systems.
Days 6–8
Prioritization
Working session to rank use cases by ROI; technical probes where feasibility needs proof, not opinion.
Days 9–10
Roadmap
Pilot definition, budget, and execution plan. Final readout with your team — decisions, not a document dump.
What we need from you: a decision-maker in the room, 3–4 hours of stakeholder time per week, and read access to the relevant systems or their documentation.
Who it's for — and who it's not for
Fit
A good fit if
you have a live product or real operational systems, a suspicion that AI should be doing more for you, and someone empowered to act on the answer.
You already know exactly what to build.
Skip the sprint — talk to an engineer about implementation directly.
There's no software or data to work with yet.
At idea stage, the sprint would waste your money. Come back when something is running.
You need a research report, not a build decision.
Everything we produce points toward shipping.
Fixed scope · Fixed price
2 weeks
Fixed price — credited 100% toward your implementation (within 90 days)
We price it fixed because we know what it takes. We credit it in full because we expect the findings to be worth building.
Sometimes the honest answer is “not yet.” If that's the finding, you'll know exactly why, what would need to change, and what it would cost to get there — and you keep everything.
Book your sprintThe people in the room are the engineers who would build it.
Proof
The same team spent 7 years building core product features inside Auth0, and built Frankie — Amgen's voice assistant for field sales reps.
Sophilabs presented us with a product that we were proud to show people.
What happens next is your call
After the sprint
Most teams continue into a fixed-price implementation of the first use case — shipped by the same engineers who scoped it. From there, many keep building with us on a monthly subscription priced on output, not hours. Either way: the roadmap includes the numbers, so what comes next is a decision, not a surprise.
FAQ
- Why is it paid when others offer free AI assessments?
- Free assessments optimize for selling you something. A paid, fixed-scope sprint puts senior engineers on your problem, with deliverables you own — and the 100% credit means that when you build, the sprint effectively cost nothing.
- Who from Sophilabs is involved?
- Senior engineers — the ones who would build your system. No analysts producing decks, no handoff after signing.
- Is it remote?
- Yes. The sprint runs remotely, with sessions scheduled in your time zone.
- What about confidentiality and our data?
- NDA before anything else. All work happens inside the access you grant, against your own controls — we see what you decide we see.
- Can our own team execute the roadmap?
- Yes. It's written to be executable with us or without us — and the credit stays valid for 90 days if you decide to build with us later.
- What if our data isn't ready for AI?
- That’s a finding, not a failure. The feasibility deliverable tells you exactly what preparation your data needs — and that work can be the actual first step of the roadmap.
Two weeks from now, you'll know.
Where AI pays off in your software, what it takes, and what it costs — mapped by the engineers who would build it.