AI and agent projects, built to a clear scope.
Some clients already know what they want built: an agent workflow, an AI assistant on their own documents, a document-processing system, a voice agent. You don't need an operating-model audit for that. We take it on as a defined AI project, built on the same verification and human-approval principles behind our research.
Choose a project when you know what you need.
| If you… | Start with |
|---|---|
| know the AI system you want built | An AI project (this page) |
| want to know where AI would pay off before building | The free diagnostic, then the Audit |
| want to prove one workflow in production first | A Pilot |
AI projects we take on.
| Project type | Examples | What you get |
|---|---|---|
| Agent workflows | Multi-step agents that prepare, route and check work, with approval before anything commits | A working workflow with verification gates, an audit log and hand-over to people for exceptions |
| MCP and tool integrations | Connecting AI agents safely to your databases, APIs and business systems | Governed tools with typed inputs, limited permissions and no credentials exposed to the model |
| Assistants on your own knowledge | Copilots that answer from your documents, SOPs or data, with citations | Retrieval with sources shown, quality tested before launch |
| Document AI | Reading invoices, forms, contracts and scanned files into structured data | Extraction with validation and a review queue for low-confidence cases |
| Voice and speech | Voice receptionists, call transcription, meeting notes | A voice workflow with approved answers and human fallback |
| Computer vision | Visual inspection, defect detection, photo-based checks | A model and workflow tuned to your images, with clear accuracy limits |
| AI on your own infrastructure | Open-source and open-weight models, self-hosted | A system that runs in your environment, with no lock-in to one vendor. See Open-source AI. |
| Industry AI tools | Tools for the workflows on our industry pages, such as claims, collections, underwriting, returns and case processing | A tool shaped to your sector's rules and approvals |
| Making existing AI safe | Adding verification, guardrails, evaluation and tracing to AI you already run | Checks before actions, quality tests and full tracing |
| AdTech AI | Copilots, agents and AI plugins for ad platforms | Built on our five live AI plugins at reviveadservermod.com |
Scoped, built in stages, handed over.
| Step | What happens |
|---|---|
| 01 Scope | A short call, then a written scope: what the system does, what it must never do, how success is measured, and the price. |
| 02 Build in stages | Working demos at each stage, so you see progress early and can change direction. |
| 03 Verify | Tests, quality checks on AI answers, and approval gates on anything consequential, before launch. |
| 04 Hand over | Code, documentation and a walk-through. You own the workflow-specific deliverables we build for you. |
| 05 Support | Optional support or a monthly AI engineering arrangement after launch. |
Three ways to work with us.
| Model | Best for | Pricing |
|---|---|---|
| Fixed-scope project | A clearly defined AI system | Fixed price, agreed in the written scope |
| Monthly AI engineering | Ongoing AI work, or several projects in sequence | Monthly fee for an agreed capacity |
| Pilot | Proving one workflow before a wider rollout | From $6,000. See Engagements. |
Projects are quoted after a scoping call. We don't publish day rates.
The same controls, whatever we build.
- AI prepares, fixed checks verify, a person approves anything consequential. See AMEA.
- Agents never hold credentials for payments or core systems. See AMES.
- Every action is logged to an audit trail. See AMEG.
- Model-agnostic and self-hostable, so you are not locked to one provider.
Built by our engineering team and delivery network. See Selected builds for systems of this kind.
If a project shows a bigger operational opportunity, the Operational Leverage Audit is the natural next step, but it is never required.
Frequently asked
Do we have to do the diagnostic or Audit first?
No. If you know what you need built, we can scope it as a project directly.
Who owns the code?
You own the workflow-specific deliverables we build for you. We keep our pre-existing frameworks and tooling. The exact terms are in the written scope.
Which AI models do you use?
We are model-agnostic: frontier models, smaller models or self-hosted open-weight models, chosen per task.
Can it run on our own servers?
Yes. The stack is self-hostable end to end.
Do you build general websites or mobile apps?
No. Secular Labs focuses on AI and agent projects only.
How do you price?
After a short scoping call we send a written scope with a fixed price, or a monthly fee for ongoing work.