Services That End in a Number

Every engagement we run is scoped to move a metric your CFO already tracks — hours, cycle time, error rate, cost per transaction. Audit, strategy, implementation, and the data and governance work underneath. Senior-led, your team in every session, capability transfer built into the deliverable.

AI Readiness Audit

The two-week answer to “where does AI actually pay off for us?”

Pricing & Scope

Fixed price, published on the website: $9,500 / $18,500 / $45,000 by organization size and regulatory scope. Credited against implementation within six months (in full for Focused and Standard; capped at $18,500 for Complex/Regulated).

Before a dollar goes into building, the audit tells you where you stand: a scored assessment of your data, workflows, and candidate use cases, ranked by expected payback, with a 90-day roadmap and the first build scoped — success metric included.

It’s the entry point to everything else we do, and sometimes it’s the whole engagement: if the honest answer is “not yet” or “buy, don’t build,” that’s what the report says.

  • Scored readiness across data, workflow, organization & value
  • Use cases sequenced by payback, not hype
  • 90-day roadmap with the first build scoped and priced

AI Strategy & Roadmap

What to build, why, and in what order — before you’ve spent a dollar building the wrong thing.

Start a Strategy Engagement

Flat-fee, six-week engagement. Transparent pricing scoped to your situation before we start. No hourly billing, no surprise inflation.

The most expensive AI mistake isn’t picking the wrong model. It’s picking the wrong problem and building competently against it for nine months while an AI-native competitor compounds past you.

Our strategy engagements are a structured discovery of where AI moves your numbers: which workflows carry the cost, which use cases pay back first, what’s worth building, what’s worth buying, and what’s not worth doing at all. We meet with the people who own the workflows AI would touch — and the roadmap that comes out is ordered by payback, budgetable by your CFO, and executable by your team.

  • Use-case portfolio ranked by expected return and readiness
  • Build-vs-buy analysis per candidate
  • Roadmap your board can read and your team can run

Implementation, Done With You

Fixed base fee. Outcome-aligned component available. Your team in every working session.

Scope a Build

Outcome-aligned pricing: where the audit has defined a clean metric, a portion of our fee rides on moving it — verified in your data over 30–90 days after go-live. Miss the agreed success criteria, and we revise the deliverable at no charge.

We build the AI capability inside your organization — not for it. LLM applications, intelligent automation, classical ML where it’s the cheaper answer: whatever the roadmap called for, built alongside the people who’ll run it.

Your staff are co-builders in every working session, because they hold the knowledge the system depends on and they’re the ones who have to extend it after we leave. Every deliverable is documented, handed off, and built on open standards — no vendor lock-in, no hidden stack, no dependency on us.

  • LLM applications, intelligent automation, classical ML
  • Success metric agreed before the build, verified after
  • Capability transfer as the exit criterion, not an add-on

Data & Knowledge Discovery

Most AI projects fail at the data layer — not the model layer. We start where the failures start.

Start a Discovery Engagement

Flat-fee discovery sprint, typically four to eight weeks. Often runs in parallel with a strategy engagement; sometimes it is the engagement.

The most valuable data in your organization isn’t in a database. It’s in the heads of the people who’ve been doing the work for a decade — the rules they apply, the exceptions they recognize, the decisions no documentation has ever captured.

AI can’t be built on data that doesn’t exist, and it can’t deliver returns on data that’s wrong. We work with the people who hold that knowledge to surface it, structure it, and turn it into the asset your AI — and your margins — actually run on. This is a craft, not a survey.

  • Workflow & tacit-knowledge capture with your staff
  • Data-quality and data-gap assessment with cost to close
  • Knowledge base your AI and your next hire both inherit

Responsible AI Practices

Trust is a commercial asset. We design it in from day one — not bolt it on before the audit.

Design Your Program

Sister firm Talent Echo Advisory Group runs the executive search for Chief AI Officers and AI Governance leaders. We build the program the leader inherits.

Enterprise buyers ask about your AI governance before they sign. Insurers price it. Regulators — from the EU AI Act to NYC Local Law 144 — enforce it. Governance done right isn’t a drag on commercialization; it’s what lets you sell to the customers who check.

We design governance, risk, and ethics into the capability as it’s built: documented decisions, explainable systems, review processes your team can actually run. What we build survives your customers’ security questionnaires and your regulator’s questions — because it was built to.

  • Governance program designed into the build, not around it
  • Documentation that answers the questionnaire before it’s asked
  • Leadership search via Talent Echo; program via A2

Start where every engagement starts: know where you stand

Fixed-price readiness audits from $9,500 — scored, sequenced, and credited in full if we build together.

See Audit Pricing