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Ramanova Labs

Services

Advisory Retainer

Ongoing fractional AI leadership and delivery oversight.

Talk to us about Advisory Retainer

At a glance

Who it's for
Firms with AI work underway or a CoE in place that need senior AI leadership without a full-time hire, and firms building generative or agentic AI with delivery partners.
Typical sponsor
CIO, CTO, or the head of the CoE.
Format
Ongoing, with scope and cadence agreed up front.
You end with
A senior AI leader in your governance forums and delivery reviews, accountable for keeping decisions on standard.

Why it matters

The hard part of AI comes after the pilot: vendor claims to check, architecture choices that are costly to reverse, agentic systems that must be explainable to regulators, and delivery partners to hold to a standard. Most firms need that judgment regularly, not a full-time executive for it.

Signs you need this

  • You are running generative or agentic AI projects with one or more delivery partners.
  • Vendors are pitching AI products, and there are no criteria to compare them.
  • Your CoE exists but lacks senior AI leadership.

What you get

  • Fractional AI leadership: A seat in steering committees, architecture reviews, and risk forums.
  • Delivery oversight: Checkpoints and quality gates across vendors and internal teams, with three-check validation before release.
  • Architecture and platform guidance: AWS Bedrock, LangGraph, RAG, and multi-agent orchestration.
  • Agentic AI controls: Human review thresholds, audit logs, and clear limits on what agents can do without approval.
  • Vendor evaluation: Vendor-neutral criteria, due diligence, and pilot designs with exit criteria.
  • Leadership reporting: Clear status on the AI portfolio for executives and the board.

Example format. Not client data.

Sample release gate

  • Grounded to an approved source?
  • Passed the golden evaluation set?
  • Cleared by model-as-judge review?
  • Human review threshold defined?
  • Audit log in place?
  • Named owner after launch?

How it runs

  1. 01ScopeAgree the forums, decisions, and cadence we cover.
  2. 02EmbedJoin the agreed forums and set the quality gates.
  3. 03OverseeReview delivery, vendors, and risk on the agreed cadence.
  4. 04ReviewRevisit scope at regular intervals as your needs change.

What we need from you

  • A named internal owner for the relationship.
  • Access to delivery forums, design documents, and vendor contracts.
  • Decision rights agreed up front, so recommendations turn into action.

The method behind it

Every release is held to the three-check standard: grounded to an approved source, passing a golden evaluation set, and cleared by an independent model-as-judge review.

Illustrative scenarios

Illustrative scenario. Not a client case study.

Property and casualty insurer scaling agentic AI in claims

Pilots work, but no one can explain agent decisions to regulators.

Approach: An evaluation framework with golden datasets and human review thresholds, audit logging, and a model risk process regulators can follow.

Illustrative scenario. Not a client case study.

Asset manager facing AI vendor sprawl

A dozen vendors are pitching AI products, and there are no criteria to compare them.

Approach: A vendor-neutral evaluation framework, a due diligence scorecard, and pilot designs with clear exit criteria.

Related

Questions on this service

All questions
  1. A 15-minute call
  2. A scoping session
  3. A fixed-scope proposal
Talk to us about Advisory Retainer