Rung 4 · ₹2–5L / month
Governance & CoE Retainer
A monthly retainer for the governance framework, evaluation harness and champions that keep agentic work safe.

The Governance & CoE Retainer is a monthly engagement maintaining the governance framework, the agent evaluation harness and the internal champions to run agentic workflows safely in production. It governs live agents, not a binder: IBM found 83% of Indian executives call governance essential, only 4% have frameworks.
- Monthly retainer: governance framework, maintained evaluation harness, model register, champion enablement.
- IBM: 83% of Indian executives call governance essential; only 4% have embedded frameworks.
- India's MeitY AI Governance Guidelines (5 Nov 2025) set expectations without a standalone statute.
- It governs live agents in production, not a binder nobody reads.
- Priced ₹2–5L/month, indicative; it is the recurring rung, not a first engagement.
- Rung
- 4
- Duration
- Monthly
- Price
- ₹2–5L / month
- Shape
- monthly retainer · governance framework · agent evaluation harness · internal champion enablement
Indicative. Priced per engagement.
Who this is for
A transformation owner at a GCC that now has agentic workflows in production and needs them to stay safe, evaluated and compliant as they multiply: the recurring discipline of governance, evaluation and champion enablement, rather than another one-off build. This rung is where a practice becomes an ongoing capability instead of a series of projects.
What you get
- A governance framework covering who is accountable for each agent, what it may do, and how it is reviewed.
- A maintained agent evaluation harness that catches regression across your production workflows.
- A model and agent register, so nobody has to guess what is running where.
- Internal champions enabled to run the discipline, so it does not depend on us being in the room.
- A review cadence that keeps pace with changing tools, regulation and your own workflow estate.
Deliverables
Governance framework and policy set
Accountability, permitted-use boundaries, escalation paths and review cadence for agentic systems, written for your organisation, not a template.
Maintained evaluation harness
Ongoing upkeep and extension of the evaluation suites across your production workflows, so regression is caught before it ships, not after.
Model and agent register
A current record of what is running, what it can touch, who owns it and when it was last reviewed.
Champion enablement and review sessions
Regular working sessions that build your internal owners' ability to run governance without an outside vendor present.
What this rung will not do
We name what we refuse to sell before we start. The honesty constraint is the product.
- Not a first engagement. A retainer governing nothing is a cost with no object; it follows real workflows in production.
- No compliance theatre. We do not produce a policy binder nobody reads in place of a working evaluation discipline.
- No dependency by design. The retainer builds your internal capability to run it, not a permanent reliance on us.
- No catalogue governance course. This is applied governance of your live agents, not a generic curriculum.
- No logo-for-discount arrangement. The retainer price is not traded for a reference or a case study.
83% of Indian executives say effective governance is key to successful AI, yet only 4% of Indian organisations have embedded frameworks to manage AI-related risks.
The gap between believing governance matters and having a framework that works is the market for this retainer. India's AI Governance Guidelines, released by MeitY on 5 November 2025, set expectations without a standalone AI statute, so the obligation is real and the ground is still moving.
The governance loop
Text description of this diagram
Five governance stages arranged in a circle connected by a dashed ring: Define, Instrument, Evaluate, Review, Adjust. The circular layout shows AI governance as a continuous, repeating cycle rather than a one-time document.
Frequently asked questions
Accountability has to be assigned per agent (who owns it, what it may do, and who reviews it), rather than left with a general committee. The retainer's first job is to make that explicit in a register and a framework. It matters because IBM found 83% of Indian executives call governance essential while only 4% of Indian organisations have embedded frameworks to manage AI risk; the accountability gap is the common failure, and naming an owner for each agent is where it closes.
Four things, monthly: a governance framework covering accountability, permitted use, escalation and review cadence; ongoing maintenance of the agent evaluation harness across your production workflows so regression is caught before it ships; a model and agent register kept current; and enablement of your internal champions so the discipline does not depend on us. It is applied governance of your live agents, not a generic course.
Because governance is a cadence, not an artefact. Tools change, regulation moves (India's MeitY guidelines were released in November 2025 and are explicitly phased), and your workflow estate grows. A framework written once and shelved is exactly the compliance theatre we refuse to sell. The recurring model keeps the evaluation harness maintained and the register current as the ground shifts.
No. A retainer governing nothing is a cost with no object. This rung follows real workflows in production, typically after a Diagnostic, one or more Sprints, and often a Cohort. If you do not yet have agentic workflows running, the honest first step is the Diagnostic, not a governance retainer, and we would tell you so.
Indicatively ₹2–5L per month, quoted against the size of your agent estate and the review cadence required. It is designed to build your internal capability to run governance rather than to create a permanent dependency on us, and the price is never traded for a reference or a case-study credit.
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