Join an 8-week Genesis Cohort exploring how AI and agents can turn renewal from a late-stage decision into a continuously evaluated commercial position - preserving optionality, building leverage and improving the outcome before the next commitment is made.
Most renewal processes wake up when the deadline becomes visible. By then, notice rights may be closing, demand is still uncertain, alternatives are weak and the supplier already understands the buyer's urgency. The cohort explores a different operating model.
Terms, usage, service and business needs evolve in separate systems.
Teams begin collecting evidence because time is running out.
Fallbacks and leverage are often underdeveloped.
A binary choice arrives before the commercial position is fully understood.
Agents review contract, value, economics, dependency, risk and decision readiness over time.
Focus attention on what currently limits a better commercial outcome.
Close demand, test alternatives, protect rights and improve readiness before engagement.
Make the decision from a stronger, evidence-backed commercial position.
Acme Corporation gives the cohort a persistent renewal environment. Contracts, usage, economics, service, alternatives and stakeholder readiness change over time so the agents have to maintain judgment rather than simply extract documents.
We can deliberately create notice pressure, missing evidence, weak alternatives, conflicting business-unit demand, supplier counter-moves and changing risk without exposing customer data.
Scope, mechanics, pricing, notice rights, minimums and constraints.
Consumption, service, experience and future demand.
Cost, return, price position, consolidation and expansion.
Criticality, switching cost, credible alternatives and exit readiness.
Commercial, operational, security, regulatory and counterparty exposure.
Alignment, negotiation readiness, evidence quality and authority.
Ram's review called for concrete interface views, not only diagrams. These working views translate the renewal specification into an operating surface: a portfolio of upcoming renewals, a maintained Renewal Position and an active Line governed by stage and authority.
A renewal portfolio should make consequential change visible: notice windows, commercial materiality, current stage, disposition and the few cases whose binding constraints require attention now.
Interrupt if supplier accelerates deadline or demand falls below threshold.
The program will pressure-test a stage-aware sequence: maintain the Position, choose the commercial posture, hold a coherent Line, make deliberate Moves and observe whether the Position actually improves.
What is actually true across contract, value, economics, dependency, risk and readiness?
Renew, renegotiate, right-size, consolidate, compete, extend, hold, transition or exit.
A conditional course of action held over a commitment window, with thresholds and branches.
Purposeful interventions intended to alter the Renewal Position.
Did the intended commercial, operational or relationship effect actually occur?
Week 1 frames the problem. Weeks 2-7 run six experiments across different buy-side renewal conditions. Week 8 synthesizes what changed, what failed and where agents created useful commercial leverage.
Renewal Alpha, Acme Corporation, the agentic model, evaluation method and participant baseline.
Can agents find underutilization, notice risk and hidden alpha without over-intervening?
Can agents close demand, build leverage and avoid negotiating from artificial time pressure?
Can agents distinguish supplier dependency from dependence on specific people, outcomes or capability?
Can agents reason about term, volume, forecast risk and the cost of surrendering flexibility?
Can agents improve incumbent performance while making an exit path operationally credible?
Can agents allocate attention across competing renewals and search for portfolio-level leverage?
Synthesize Renewal Alpha, human judgment, autonomy boundaries, repeatable Lines and the next experiments.
Our teams work alongside the cohort, building and optimizing the scenarios, capabilities and agent behavior between sessions. The learning is visible week to week.
Introduce the renewal situation, show what was built and watch the agents review evidence, update Position and surface the binding constraint.
Commercial, product and agent teams diagnose what happened, refine the world, improve skills and thresholds, then rerun the scenario.
New evidence changes the Position. We challenge the active Line, consider Moves and supplier responses, then close the week with a visual report.
Select either sample report to open it in view mode. These are reference artifacts inside the program page - not downloads - so participants can see the quality and depth of the weekly evidence trail and final synthesis.
A compact Friday record of the experiment: what changed, the current Position, active Line, supplier response, simulated outcome, cohort judgment, failure modes and what the team changed next.
The end-of-cohort synthesis: six experiments, forms of Renewal Alpha, where agents helped, where they failed, human judgment, authority boundaries, playbook evolution and the emerging renewal operating model.
The cohort will distinguish activity from outcome. A completed action is not success unless it creates the intended Position change without unacceptable side effects.
We are assembling practitioners and leaders who want to explore, challenge and shape how AI and agents participate in renewal work.