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Impero IT Services: one shared AI playbook for 100+ employees

56 questions in. 8 real problems out. One process for everyone.

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Impero employees raising hands during a live AI poll

100+ employees trained

56 team questions analysed

8 root problems solved

Client: Impero IT Services
Format: On-site session, Ahmedabad (August 2026)
Audience: 100+ employees across dozens of technical and non-technical departments

The situation

Every department at Impero was already using AI. Nobody was using it the same way.

Teams treated AI as if it could do anything. There was no process, no checklist and no shared standard, so quality varied and token use kept climbing.

The outcome

Every department now follows the same process and checklist when working with AI.

The whole team called the session highly interactive. Everyone enjoyed it and loved it.

“The session was very interactive. The whole team liked it and loved it.”
Impero IT Services

What was delivered

Diagnosis first: 56 questions collected from teams, grouped into 8 real problems.
Context engineering: keep the AI aware of architecture and decisions as projects grow.
Plan adherence and scope: stop the AI drifting from the agreed plan.
Review habits that catch hidden bugs before they ship.
Model and tool continuity: switch tools mid-task without losing context.
Security, NDA and guardrails for client data.
Agentic workflows and role-specific automation for each department.
A working checklist for every AI task: best output, fewer tokens.

Context engineeringTask-flow checklistsToken-efficient promptingAgentic workflowsAI guardrails

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