Adoption is growing
OECD reports 20.2% of firms were using AI in 2024, with much higher adoption in large firms.
Sector Playbook
Enterprise Ops & SME Productivity AI
Close the gap between AI potential and practical adoption in operations, customer workflows, internal knowledge systems, and leadership reporting.
SME gap is material
OECD highlights only 11.9% of small firms using AI in 2024 versus 40% of large firms.
Work redesign pressure
ILO finds one in four jobs has some generative AI exposure, requiring workflow redesign rather than tool-only adoption.
Current gaps
- Teams buy tools but fail to redesign end-to-end workflow ownership.
- Knowledge is scattered across docs, chats, and disconnected systems.
- SMEs lack AI implementation bandwidth and governance templates.
- Leaders do not get decision-ready metrics quickly enough.
What your team gets
- Workflow Copilot Engine: automate repeat tasks and escalation routing.
- Knowledge Intelligence Hub: searchable institutional memory with approval trails.
- Decision Forecast Stack: scenario dashboards for resource allocation.
- SME Deployment Toolkit: low-ops implementation blueprint and controls.
90-Day Delivery Plan
Focus on the high-volume workflow with the largest productivity drag
Days 1-30
Map bottlenecks, baseline cycle time, and define governance checklist.
Days 31-60
Deploy workflow + knowledge modules with user training and change management.
Days 61-90
Measure speed, quality, and adoption; prepare an executive ROI memo.
Outcome KPI tracker
- Cycle time per workflow instance
- Manual effort hours saved
- Knowledge retrieval time
- Decision turnaround time at leadership level
Want AI adoption that actually improves operations?
Prioritize workflows where delay and rework are measurable each week.
Book Enterprise Pilot Call