Modern operations do not fail for lack of tools — they fail from too many. This playbook is the field guide our customers used to collapse a dozen systems into one AI-native workspace, and to hand the busywork to agents that never sleep.
Chapter 1 · The SaaS-sprawl tax
The average 50–500 person company runs 8–12 disconnected tools for ops: a CRM, a project tool, docs, HRMS, finance, time tracking, chat and helpdesk. Each one is a data island, a login, a bill, and a place for work to fall through the cracks. The real cost is not the subscriptions — it is the re-keying, the reconciliation, and the context lost between systems.
Chapter 2 · Three traits of an AI-native ops stack
One data model so every record connects. One permissions system so access is consistent everywhere. One AI brain with grounded, cited answers and agents that act on rails inside your permissions. Bolting a chatbot onto twelve tools gives you twelve chatbots that each know a twelfth of the story — an AI-native stack gives Ami the whole picture.
Chapter 3 · A migration plan that doesn't blow up
Import from your existing CRM, project tool and HR system in parallel, let Ami map old workflows to modules, and cut over one team at a time. Most teams are running in under an hour and fully migrated in a week. Keep the few integrations you cannot replace (Slack, GitHub, Stripe) and retire the rest as adoption climbs.
Chapter 4 · Putting agents to work
Start with one agent on one high-friction workflow — sales follow-ups, expense categorisation, ticket triage — and expand as trust builds. Every action is logged; consequential steps wait for human approval. Measure hours returned per week and let the results, not a mandate, drive rollout.
The remaining eight chapters ship in the full PDF.
Governance, ROI modelling, change management, and the 90-day rollout template — book a demo and we'll send the complete guide.
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