Quality isn't measured
No evaluation sets or metrics; answers are inconsistent.
A-Team AI · Enterprise AI agents and solutions
We design, integrate and deploy agents that work with corporate data and perform tasks within your existing business processes. The pilot ends — the agent keeps working.
Find your request — each has a clear first step with a timeline and outcome.
| Request | What's usually behind it | What we do | First step |
|---|---|---|---|
| “We want AI agents” | A mandate from leadership, but no clear starting point | Identify 2–3 processes with measurable impact and take the first agent into production | 2–3 week discovery |
| “We want RAG over our knowledge base” | Policies and documentation are scattered; searching takes hours | RAG over your sources: answers with citations and access controls | 3–4 week pilot |
| “We want to automate processes” | Manual work with documents, reconciliations and requests | Analyse the process: where integration is enough and where an agent adds value | Process audit |
| “We want an AI assistant” | An overloaded service desk or contact centre | An assistant connected to ticketing and the knowledge base, with hand-off to people | Request analysis |
| “We want to query data in plain language” | Reports wait days for analysts | An AI interface to DWH, data marts and ERP with safe SQL generation | Pilot on one data mart |
| “Our pilot never reaches production” | Unstable quality, no integrations, no security sign-off | Audit, rework or rebuild, then go-live | 2–4 week pilot audit |
| “Employees already use AI on their own” | Data flows to external services | Inventory; move what works into production, the rest into a platform and training | AI inventory |
Almost every large company is experimenting with language models, but only about half reach production.
No evaluation sets or metrics; answers are inconsistent.
The pilot isn't connected to real systems and sources.
Access, audit and data storage haven't been signed off.
Nobody owns the process or the operating plan.
One programme with clear checkpoints instead of three separate contracts.
2–4 weeks: data, constraints, target architecture, quality criteria and business metrics.
Up to 6 weeks on real data, with evaluation sets from day one.
About 2 weeks: load, access controls and user feedback.
Documentation, user onboarding and handover.
Answer quality monitoring, model updates and new use cases.
No pilot yet? We'll start with discovery and choose a use case with measurable impact.
We measure accuracy and maintain it under SLA — without promising zero errors.

200+ projects for government, banking, energy and retail. We work inside client infrastructure, meet enterprise security requirements and are accredited by the Russian Ministry of Digital Development.
The model answers from your documents rather than from memory, and shows where each answer comes from. This reduces errors and makes every answer verifiable.
Yes. We start with an audit and propose a plan — rework or rebuild.
We select models to fit the task and your security requirements: Russian and open-weight models, on-premises or hybrid.
No. Agents remove routine work; people keep the critical decisions.
We'll run a technical audit, map the constraints and propose an architecture, timeline and go-live plan. No pilot yet? We'll start with discovery.