Define the smallest useful result
On the fit call we identify the workflow, deadline, systems, and acceptance test. You get a direct answer, not a pitch deck.
For product teams with a deadline and an open AI role
Your AI hire may not land before the deadline.
Your AI hire may not land before the deadline.
We can ship the feature while you keep hiring.
Give us one AI workflow. We define the acceptance test, build it in your environment, and hand an operable system to your team. Technical scoping or a prototype starts at EUR 1,000; production builds are fixed-price after scope.
Check if your feature fits
30 minutes. Leave with a yes, a no, or a tighter scope.
Fixed scopeBuilt in your accountsWeekly working demosClean handoff
Start with one deliverable, not a large commitment
A technical scope, evaluation setup, integration, or prototype can start at EUR 1,000. If the feature needs a production sprint, you approve a fixed deliverable, price, and acceptance test before work begins.
Watch it work every week
The build runs in your environment. Weekly demos expose progress, tradeoffs, and failures before handoff day.
Own the result
Your team keeps the code, infrastructure, evaluations, deployment notes, and recorded walkthroughs. No required retainer.
This is for you if
- You are recruiting a senior AI engineer, but a customer or product milestone cannot wait for the search to close.
- Your prototype works in a demo but still needs integrations, evaluations, monitoring, and failure handling before real users touch it.
- A regulated workflow needs audit logs, access controls, PII boundaries, or human approval designed into the build.
- Your team can maintain the feature after launch but cannot absorb the initial delivery work right now.
Not sure the scope is small enough? Book the call. We will recommend a smaller first deliverable or tell you plainly that we are not the right fit.
Meet the builders. Inspect the delivery standard.
We will not manufacture customer quotes. Instead, you can inspect the people leading the work, their public technical writing, and the acceptance criteria used to define a real result.
Dmitri Bogatenkov
AI and fintech systems architecture
Production AI, RAG, evaluation, HIPAA and SOC 2 workflow architecture.
Sergei Bogatenkov
Product design and delivery
More than a decade in fintech, plus AI-native interfaces, integrations, and product delivery.
PassAnswers cite only permitted source documents
PassHuman approval is required before external action
PassEvery run records latency, model cost, and outcome
PassFailure paths return a specific recovery action
Targets are adapted to your workflow and signed off before delivery begins.
What can fit
The best first engagement has one user, one workflow, and one result your team can verify.
Good starting points
- RAG assistant with citations, permissions, and evaluations
- Document or form processing with human approval
- Internal triage agent with audit logs and escalation
- Voice or intake workflow connected to your existing systems
Usually not a fit
- Replacing your entire product in six weeks
- Open-ended “AI transformation” without a user workflow
- Five unrelated features presented as one project
- A build without access to data, systems, or an internal owner
Inside a full production sprint
Smaller starting engagements use only the steps they need. For a six-week production build, the work advances through this sequence with a working demo every week.
Week 1
Scope, data, architecture
Scope sign-off, data access, model selection, integration map, and a working development environment.
Weeks 2-3
Working build and integration
The core workflow runs end to end, then connects to your auth, CRM, data, and existing tools.
Weeks 4-5
Evaluation, security, observability
Edge cases, evaluation targets, latency and cost limits, access controls, audit logs, and monitoring.
Week 6
Launch and handoff
Production deployment, documentation, recorded walkthrough, and a clean transfer to your team.
Questions we get on the scope call
How can you ship a real AI feature in 6 weeks?
We limit the engagement to one bounded workflow, define acceptance criteria before work starts, build in your environment, and demonstrate working software every week. Broader products are split into smaller deliverables instead of forced into an unrealistic deadline.
What if scope changes mid-sprint?
The agreed acceptance criteria remain fixed. New requirements are documented and either exchanged for an existing item or priced as a separate follow-on deliverable. Nothing is quietly added to the invoice.
Who specifically leads my sprint?
One of the co-founders, Dmitri or Sergei Bogatenkov, is on every sprint as the technical lead. You meet the proposed delivery team before committing. Review Dmitri's profile or Sergei's profile.
Do you handle compliance?
We design required controls into the delivery: data residency, audit logging, access controls, PII boundaries, retention, and model-provider policies. Your compliance team and auditors retain final approval.
What happens after the sprint?
You own the code, models, infrastructure, deployment, evaluations, and documentation. We can support the handoff or discuss follow-on work separately, with no retainer required.
How much does it cost?
Technical scoping, an evaluation setup, or a prototype can start at EUR 1,000. Larger production builds receive a fixed scope, price, and acceptance test before work begins.
Take one feature off the hiring critical path
The 30-minute call ends with a yes, a no, or a smaller recommended scope. Technical starting deliverables begin at EUR 1,000, with no required retainer.