Who We Help · CIO / COO / Transformation Lead
Agentic AI for CIOs, COOs & Transformation Leads — Change the Process Boundary, Not Just the Tool
You have board pressure for material AI value; what you have so far is 10–15 pilots and individual copilots. We redesign one workflow end-to-end — deterministic vs judgment split, agent role by task type, handoff removal, RACI + KPI redesign, and a written redeployed-capacity plan — so one measured KPI moves in-quarter, before the transformation program expands.
Where the friction lives
- ›Board demanding material AI value; only seat-level productivity has been delivered
- ›Time 'saved' by copilots that never turned into throughput or spend avoidance
- ›Workflow ownership unclear once AI is inserted
- ›Handoffs, approvals, and KPIs still designed for the old operating model
- ›10–15 pilots with no path to organizational impact
High-ROI use cases
Workflow selection scorecard
Candidate workflows vetted on end-to-end measurability, sponsorship, and capacity-redeployment path before any build.
Wrong workflows filtered out
Deterministic vs judgment split
Every task in the workflow classified; agent role assigned by task type, humans retained on judgment.
Handoffs reduced 30–70%
RACI + KPI redesign
New accountabilities, new metrics, sign-off from finance + operations before rollout.
New KPIs live day 1
Redeployed-capacity plan
Written commitment for where saved capacity goes — new customers, backlog burn-down, higher-value work — with monthly measurement.
>70% of saved time redeployed
How we help
Workflow selection is the deliverable
We refuse to start on a workflow whose value can't be measured end-to-end.
Org design, not just build
RACI, KPIs, handoffs, and approvals get redesigned in the same sprint as the agent.
Capacity redeployment is a plan, not a hope
'What happens to the time saved' is a written commitment with monthly measurement.
Board-ready evidence
Every program ships with artifacts an executive sponsor can present without a translation layer.
Works alongside your transformation partner
We bring agentic implementation depth; your change-management partner brings executive-comms muscle.
Engagement model & pricing
10–18 weeks per workflow family. Weeks 1–3: workflow selection + process mapping. Weeks 4–8: role split + RACI + KPI redesign + instrumentation. Weeks 9–14: agent build + staged rollout. Weeks 15–18: capacity redeployment + steering. Multi-workflow transformation programs sized after triage.
What you get
- One measured KPI moves in-quarter, board-visible
- Redeployed capacity is a plan, not a hope
- Handoffs, RACI, and KPIs redesigned alongside the agent
- Compatible with existing transformation-consultancy relationships
- Board-ready evidence artifacts per program
Frequently asked questions
Isn't this just BPM or Six Sigma with an AI coat?+
It borrows from both, but adds framed autonomy: agent role by task type, approval-safe execution, and instrumentation that captures agent + human behavior together.
Why one workflow and not enterprise-wide?+
Enterprise-wide transformation programs without a proven workflow are how AI initiatives lose credibility. One measured win funds the next three.
What if we don't have process-mining tools?+
Manual mapping works for most single-workflow programs. Process mining accelerates enterprise-scale but isn't a prerequisite.
How do you handle the 'saved time' problem?+
We define, in advance, where saved capacity gets redeployed — with a monthly measurement.
Do you replace our transformation consultancy?+
We frequently work alongside one — we bring the agentic implementation depth; they bring the change-management muscle.