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The Pipeline

Ten steps to
supervised AI.

From the first interview to an AI team member working under your department head's supervision. Every output is reviewed by your people until the AI has earned the right to work on its own.

Interactive30 min (recorded)

01Discovery interview (CEO)

A structured recorded conversation with the business owner. We capture the vision, the operational reality, and the boundaries.

Business model and revenue mechanics
Department structure and Head-of-Department roles
Strategic priorities and constraints
Where the owner currently feels operational pain
Interactive20 min each

02Department head interviews

Per-department recorded interviews. Each department head describes their workflows, escalation rules, and what good performance looks like — in their own words.

Day-in-the-life workflow capture per department
Escalation paths and decision authority
Performance benchmarks and quality definitions
Common edge cases and exceptions
Automated~2 hours

03Operations audit

AI reads the recorded interviews and lists every distinct process your business runs — who owns it, how often it happens, what it costs. Your team reviews and corrects the list before anything is scored.

One row per operational process
Owner, frequency, current cost, current quality
Inputs, outputs, dependencies
Editable by your team before next step
Automated~3 hours

04Industry & domain research

Atmitli studies your industry — regulations, terminology, market dynamics — and produces a research brief on your sector. Everything the AI later says is grounded in that real context, not generic knowledge.

Regulatory landscape relevant to your operations
Industry-specific terminology and dialect
Competitive positioning data points
Integration touch-points commonly required in your sector
Automated~4 hours

05Reliability assessment (Tier 1/2/3)

Every process is scored against published production evidence: Tier 1 (AI handles it on its own), Tier 2 (AI drafts, your people review), Tier 3 (AI never touches it — blocked by design).

Tier 1 = proven >80% accuracy in real deployments → AI works independently
Tier 2 = 60–80% accuracy → AI drafts, your people review
Tier 3 = no evidence or too risky → AI never touches it
Output: a reliability scorecard your team can edit
Automated~30 min per dept

06Agent follow-up interviews

The AI comes back to each department head with targeted follow-up questions — filling the specific knowledge gaps the audit and scorecard exposed. Targeted, not exhaustive.

Per-department gap list generated automatically
Conducted via Telegram or website
Answers go straight into that department's knowledge base
Department heads can edit answers before sign-off
Automated~1 hour per deptDifferentiator

07Business know-how mapping

The dedicated step that separates Atmitli from chatbots. Department by department, we map where AI can actually help YOUR business — daily operations, decisions, company knowledge, coordination between departments, reporting, and customer-facing work — instead of installing a generic template.

A concrete list of what AI could do, per department
Each candidate passes the reliability gate before it's offered
Each is scoped to only the tools that department needs
Your dashboard is designed around this map — no two clients see the same screen
Automated~2 hours

08Building your knowledge base

Everything gathered so far — interviews, the audit, the scorecard, the industry research, the know-how map — comes together into one knowledge base per department. This is what your AI team actually works from.

One knowledge base per department
Sources cited inline so the AI can show where an answer came from
Your department head reads and signs off before anything goes live
Versioned — every change is on the record
Automated~1 day

09Your AI team goes live

Each department gets its own AI team member, bound to that department's knowledge base, its own tools, and a memory of every customer it deals with. Off-limits tasks are blocked automatically. Everything starts in watching & learning mode — silent until you approve.

One AI team member per department, with only that department's tools
Remembers every customer and conversation (no goldfish problem)
Off-limits tasks physically never reach the AI
Your dashboard is built from your know-how map
InteractiveOngoing

10Your team starts watching & learning

Your AI team starts exactly like a careful new employee: it watches, drafts, but never sends anything without your department head's approval. Each skill earns more independence step by step — with a track record, and only when your people sign off.

Step 1 Learning — it learns the job from your department head
Step 2 Watching — it watches the work and drafts silently
Step 3 Supervised — it does the work, your people review every output
Step 4 Independent — it works on its own, your people spot-check samples

Ready to start the pipeline?

Discovery interview is 30 minutes. From there, your operations are audited, scored, and deployed under supervision.

Book a Call