Manual and SOP search
Help technicians locate the approved procedure and show the exact source used.
Private AI feasibility sprint
Test one useful workflow before buying a platform.
We build a private prototype around one approved document set, one user group, and one measurable job. You leave with working software, test results, risks, and a clear implementation decision.
1Workflow
1Representative data set
10Business days for document scope
FixedScope and fee
Pilot fit
Start with the operational problem, not the model.
A good sprint has a real user, approved source material, an owner, and a result that can be checked.
Internal technical answers
Test whether employees can retrieve reliable answers from a controlled file set without using a public chatbot.
Training support
Give new staff a bounded helper for approved instructions while keeping a human review path.
Troubleshooting support
Evaluate whether equipment documents and known procedures can guide a repeatable diagnostic flow.
Document classification
Sort or route a representative group of technical records with a visible review queue.
Local model evaluation
Compare models and hardware against the real prompt size, latency, privacy, and answer-quality requirements.
What you receive
Enough evidence to make the next decision.
The sprint is not a vague strategy engagement. Each deliverable supports a go, revise, or stop decision.
Working prototype
One usable interface for the agreed workflow and representative data set.
Test results
Defined prompts, expected behavior, source checks, failure handling, and observed limitations.
Data-flow diagram
Files, model, storage, users, review steps, and external services shown in one system view.
Hardware and model recommendation
A practical deployment path based on the agreed environment and workload.
Risk and limitation report
Known gaps, privacy boundaries, exclusions, unsupported behavior, and production risks.
Implementation estimate
A recorded walkthrough plus a thirty-day roadmap for the next useful stage.
Boundaries
A feasibility sprint is not a hidden enterprise rollout.
Clear exclusions protect both teams from a prototype turning into an uncontrolled production build.
Included
- One workflow and user group
- One approved representative data set
- One prototype interface
- One evaluation plan
- One agreed deployment environment
Not included
- Company-wide production deployment
- Unlimited integrations or data cleanup
- Compliance certification
- Hardware purchases
- Guaranteed model accuracy or 24-hour support
Client responsibilities
- Name an internal owner
- Approve the representative files
- Provide environment and access constraints
- Identify two or more test users
- Review findings and make the next decision
Success criteria
- Approved sources only
- Sources cited when applicable
- Unsupported answers are not stated as fact
- Target response time is measured
- Users complete the agreed test tasks
Data handling
Decide where the data can go before choosing the model.
Local when required
Private files can remain on controlled hardware when the agreed model, storage, and operating environment support it.
Cloud only by agreement
If a managed API is useful, the provider, cost, and data path are documented before client material is sent.
Minimum useful data
The sprint starts with a representative subset, not an uncontrolled copy of every company file.
Written limits
Access, retention, exclusions, and handoff expectations are recorded in the scope. Read our security and data-handling approach.
Pilot brief
Tell us about one workflow worth testing.
A founder reviews every request. Start with the work and the files involved; model selection comes later.
Do not submit passwords, API keys, medical records, payment data, export-controlled data, or other restricted material through this form.