AI GainShare Lifecycle
Stage 1 - Assess Where you Stand
45 questions. 15 minutes. A personalised report scoring your organisation across all nine pillars of the AI GainShare methodology.
Three maturity bands tell you where you stand: Exposed, Aware, or Protected.
The report identifies your top three priority actions and recommends where to start. Free.
No obligation. No sales call unless you want one.
Stage 2 - Discovery
Evidence & Quantification
You can’t negotiate what you can’t prove. Before any commercial conversation with a provider, particularly under AI contract frameworks, you need a defensible, auditable baseline built to withstand challenge.
We collect and validate 12–24 months of historical data across cost, FTE, volume, productivity, and quality for every relevant service domain: service desk, application development, platform engineering, QA and testing, and systems integration. This data forms the foundation for establishing AI gainshare mechanisms. We then construct an independent view of your provider’s actual cost of delivery — not what they charge you, but what it costs them.
That gap is where your gainshare lives.
What you get:
• Validated pre-AI productivity baseline by service line
• Independent estimate of provider delivery economics
• Benchmarked data triangulated against Trinity3’s market intelligence
• A negotiation-ready evidence pack
Providers challenge numbers they can’t verify. We build numbers they can’t ignore, ensuring effective supplier relationship management.
Stage 3 - Design and Negotiate
AI Gainshare Mechanisms
The baseline tells you what value exists within your AI contract frameworks. This stage locks in your right to a share of it.
We design bespoke AI gainshare mechanisms tailored for your contracts — including gain-share ratios, measurement protocols, transparency obligations, audit rights, and renegotiation triggers. Our expertise allows us to lead or support the commercial negotiation with your providers, leveraging our insider understanding of how major systems integrators model AI productivity in their delivery economics.
For contracts that are mid-term, we identify and activate the clauses that open a legitimate path to renegotiation now — such as material change provisions, technology change clauses, and innovation review points — without waiting for renewal.
What you get:
• Bespoke AI GainShare mechanism design
• Commercial negotiation leadership or support
• Mid-contract renegotiation strategy where applicable
• Contractual schedules, audit rights, and enforcement provisions
This is the commercial conversation most clients don’t know how to have. We do because we’ve been on the other side of it, ensuring effective supplier relationship management.
Stage 4 - Implementation
Governance That Works
A gainshare clause in a contract is ineffective without the governance to enforce it, especially when implementing AI GainShare mechanisms.
We embed AI contract frameworks, measurement cadences, and reporting disciplines that make the mechanism real. Our governance model is maturity-based — it evolves alongside the supplier relationship management, rather than locking you into a framework that becomes irrelevant at the first contract review. We stay until the governance is functioning effectively, not just until the ink is dry.
What you get:
• Maturity-based governance framework calibrated to your contract and relationship
• Reciprocal accountability measures for both client and provider
• Joint progress forums and measurement dashboards
• Gainshare audit protocols tied directly to contract calculations
Good governance isn’t bureaucracy. It’s how you ensure that the value keeps flowing.
Stage 5 - Sustain and Extend
Coaching, Capability & Ongoing Value Realisation
The goal was never for you to need Trinity3 forever.
Stage 5 builds the internal capability to own the AI GainShare conversation yourselves — utilizing AI gainshare mechanisms and our EMCC-accredited coaching methodology. This isn’t merely a training course; it’s structured, accredited coaching that cultivates lasting commercial instinct in your CIOs, procurement leads, and delivery teams, aligned with the four dimensions of our diagnostic framework.
For clients seeking ongoing advisory support, we offer a retained model with a success-linked fee — ensuring our interests remain aligned with yours through effective supplier relationship management.
What you get:
• EMCC-accredited 1:1 coaching for CIOs, procurement directors, and delivery leads
• Team capability programmes across commercial literacy, relationship strategy, and lifecycle planning
• Board and executive-level sourcing support
• Ongoing advisory retainer with success-linked pricing
This is where most consultancies disappear. We stay — until you no longer need us.
Why AI GainShare
We’ve sat on all three sides of this conversation.
AS THE CLIENT - Designing AI gainshare mechanisms and outcome-based AI contract frameworks that deliver massive annual savings in scope.
AS THE SUPPLIER - Understanding exactly how major systems integrators model AI productivity in their delivery economics.
AS THE ARCHITECT - Building the contractual and governance frameworks that make gain-share enforceable, not theoretical, while enhancing supplier relationship management.
That perspective is rare.
Combined with EMCC-accredited coaching methodology and a pricing model built for accessibility, it means you get enterprise-grade AI contracting expertise without the enterprise price tag — and without the conflict of interest that comes from advisors who are also selling you services.