How an engagement runs

AI consulting and implementation in three steps.

Start small, prove it works on your real work, then let it run. Every AI implementation follows the same three steps, so you know what you get at the end of each one.

1. 1

   AI opportunity audit

   Right when you know AI could help but not where

   We sit with your team, map how the work really runs and put a number on the hours and leads it costs you.

   • Your top workflows mapped
   • Hours and missed leads measured
   • A written plan: what to automate first, and why
2. 2

   Agent build

   Right when one workflow is clearly worth it

   We build one agent for one workflow inside App Sonigo, with your team, and run it on real work before it goes live.

   • A written playbook: what it does, what it never does, when it hands over
   • An acceptance test built from your real cases
   • Supervised run with approval on every send
3. 3

   Run and improve

   Right when you want it looked after

   A named person at Sonigo watches every agent's work, fixes what drifts and adds the next workflow when you are ready.

   • Monthly review of results and costs
   • Running costs capped, with alerts
   • One improvement every month

Want your own team to use AI well? We also run AI training for businesses.

• You approve first

  Nothing goes to a customer without a person's approval until the agent has passed its acceptance test.

• One switch to pause

  Any agent can be paused at once, and the work falls back to your team.

• Your data stays yours

  Agents work inside your App Sonigo account. Contacts, conversations and playbooks belong to you.

• Costs you can see

  AI running costs have a monthly cap and an alert before it is reached.

• Written down, not in someone's head

  Each agent has a playbook: its job, its limits and when it must hand over to a person.

• Checked every month

  We review what each agent did, fix what drifted and tell you plainly how it is performing.