From pilots to P&L. Most large companies now have AI initiatives, but few have them at scale. Agentic Studio helps leadership teams make the organisational decisions, build the right agents and move them into daily production, with commitments on outcomes rather than deliverables.
AI initiatives often stall after the pilot: the technology works, but the organisational decisions remain unresolved. Which roles change? Which processes disappear? Where will AI create the most value, and how should the programme be sequenced?
PMP Strategy brings strategic depth and technological mastery in one team, from the executive committee to production. We work with leaders to define the ambition, business case, roadmap, governance and adoption journey — then deploy agents across high-volume processes.
The aim is measurable business impact: agents in daily production, a prioritised roadmap, an ExCo-level value dashboard and the capabilities to continue without us.
Our offer
Agentic at Scale with our Agentic Studio
A company rewired around agents in weeks, not a programme announced for next year. We start with executives building and using their own agents, then target the unglamorous automation that releases measurable time and cost.
– Typically 10–15 agents in real production within 6–8 weeks
– A prioritised 12–24 month roadmap, value dashboard and governance model
– An Agentic Hub that carries on without us
Datascience and modeling
Create market and cost models based on historical data and detailed knowledge of business rules.
AI for Your Business Functions
– Finance: FP&A, treasury, procurement, internal audit, close and reporting
– Customer Relationship: AI-redesigned journeys, inbound and outbound agents, augmented teams
– Private Equity: deal sourcing, due diligence and portfolio performance management
– IT: transformation potential, cost reduction and automation across the IT landscape
Proprietary AI Products
– MoneyBall: network build investment decisions
– GMB: reviews turned into customer priorities
– CDM: market modelling and competitive scenario simulation








