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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

05We check what AI can be trusted with

Before your customers ever see it, every task is checked: some the AI can handle on its own, some it drafts for your team to approve, and the riskiest it never touches. You see exactly which is which — and can change any of it.

Tasks it has proven it can do → the AI handles them on its own
Tasks that need a second look → the AI drafts, your team approves
Anything risky or unproven → the AI never touches it
You get a plain checklist you 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 review 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 reliability review, 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 first workflow

You review one useful starting workflow. It begins read-only and supervised, with no client API credits unless the approved workflow genuinely needs an AI model. Every other capability remains off.

One exact workflow, chosen from a frequent measured pain
Read-only source connection and human review first
No customer contact or external changes at the starting stage
The wider AI organization stays visible as a future blueprint
InteractiveOngoing

10First verified result

After three controlled runs, you see what the workflow checked, what it flagged for review, and the measured effort. Expansion waits until the result is stable and worth it.

Three repeatable runs before a value claim
Every flagged item stays with a human reviewer
Baseline effort and review effort are shown separately
Only proven value can justify the next AI worker

Ready to start the pipeline?

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

Book a Call