StrategicFinance.ai™

AI agents that run your EPM models — not chat over them.

StrategicFinance.ai™ puts agents built on Anthropic’s AI models to work inside your cost, profitability and planning models. They run allocations, explain variances and draft the management narrative, and every number traces back to the model that produced it.

We start on Oracle EPM, in banking and healthcare.

Chat over data vs. an agent that operates the model
Why finance teams can’t sign off on a chatbot’s number
Chat over data
StrategicFinance.ai™ agentOur agent
Where the number comes from
Whatever the model computes on the fly
The EPM model’s own rules and drivers
Allocation logic
None, or improvised
ABC, FTP, RVU and activity drivers already in the model
Answer to “why?”
A plausible paragraph
Ledger → activity → cost object → decision
Who can review it
Nobody, really
Controller, board, regulator
Why it matters

AI rarely fails because of the model. It fails between the model and the P&L.

80%+

of AI projects fail, by some estimates, roughly twice the rate of IT projects without AI.

RAND Corporation, The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed, 2024

26%

of companies have built the capabilities to move beyond proofs of concept and generate tangible value from AI.

Boston Consulting Group, Where’s the Value in AI?, 2024

Our read

Capabilities don’t create value on their own. The decision they enable does. So we start from the decision and trace it to the P&L, then put the agents to work.

The framework

Sáasil™ AI Management Accounting Framework

Decision-to-Value™ unifying people, strategy, data, processes, applications and governance to drive measurable performance and business value.

The method
Decision-to-Value™
From each decision to the P&L it moves
The framework
Sáasil™
The capabilities that make the decision possible
The agents
StrategicFinance.ai™
Operating your EPM models
Value alignment
Delivery capabilities
Tech & AI adoption and scale

Enterprise strategy & value

Decision and performance assessment · roadmap · business case

Talent

Training · organizational design · workforce

Process D2V™

End-to-end workflows · activity analysis · information needs · ROIC optimization

›

EPM agentic orchestration

Intelligent agents · workflow orchestration · embedded analytics · natural-language interaction · proactive insights and actions

Domain models

Revenue · costing · investment

AI model governance

Model choice · controls · traceability of every output

›

EPM applications

Core · profitability · planning · narrative reporting · embedded AI

Data & analytics

Integration · data platform · knowledge base

Infrastructure & security

Cloud · security · scalability · APIs · extensibility

Existing capabilitiesNew agentic capabilities

The three columns follow the capability logic McKinsey sets out in Rewired (Lamarre et al., Wiley, 2023; 2nd ed. 2026). Decision-to-Value™ adds the trail from each capability to the decision it enables and the P&L it moves.

The agents

Oracle’s agents run the model. We make sure it’s the right one.

Oracle EPM now includes its own Planning and Profitability and Cost Management agents. They build and run allocations well, and they’re built for every industry. Your model isn’t. StrategicFinance.ai™ works on top of them, through your platform’s own APIs and security, and adds what a general-purpose agent can’t know.

What we add on top of the platform’s agents
Industry content

Banking models with funds transfer pricing, expected loss and capital charge. Healthcare models with cost of care by service line.

Process view

Every driver tied to the activity and the information it depends on, not just to a cell in the model.

Critical thinking

Agents that question the driver before they run it, and test the decision against ROIC or RAROC.

Model governance

Who owns each rule, how it changes, who reviews it, and what you show your board or regulator.

Four agents, each tied to a decision finance already owns

Profitability Agent

Works alongside Oracle’s PCM Agent. Checks each allocation cycle against your industry’s drivers, flags anomalies before close, and explains margin by product, customer, channel or service line.

Planning Agent

Works on top of Oracle’s Planning Agent. Ties each driver-based scenario to the process and the P&L line it moves, so a forecast change comes with its cause.

Narrative Agent

Drafts management and board commentary straight from the model, with every statement linked to the figure it describes. Your team edits; it doesn’t start from a blank page.

Strategic Agent

Simulates price, exit and investment decisions against ROIC or RAROC, using the same cost and capital logic the model already applies.

Every agent runs on a governed model. If the model isn’t ready, we say so first, and the Model Governance Review is where we start.

Platform scope: Oracle EPM (Planning, EPCM, Narrative Reporting) first. OneStream, SAP and CostPerform are on the roadmap.

Why Anthropic

Finance work is long, multi-step and has to be explained

We build on Anthropic because the work looks less like answering a question and more like running a close: many steps, each checked against the last, ending in something a controller can follow.

Runs where your data already lives. Anthropic’s models are available through its API and through AWS Bedrock, Google Cloud Vertex AI and Microsoft Foundry, so the agents follow your cloud and data-residency choices.
The model doesn’t own the logic. Cost, allocation and capital rules stay in your EPM model, where your team maintains them. The agent operates them.
Every output is traceable. Each figure an agent reports points back to the model member, rule or driver that produced it.
Where we start

Two industries where the number gets questioned

Banking

Customer and product profitability

Funds transfer pricing, activity-based cost, expected loss and capital charge, brought together into economic profit and RAROC by customer, product and branch.

Healthcare

Cost of care

Direct, semi-direct and indirect cost traced through clinical drivers to service lines and medical units, so funding and consolidation decisions rest on what care actually costs.

How we design these models on Oracle EPCM →
How it starts

Start with the model nobody fully trusts

01

A working conversation

With the principal who would design your model, not a sales team. Which decision, which model, which platform. If an agent isn’t the right answer, we say so.

02

Model review

We review your cost model, drivers and EPM setup to find where an agent can operate safely and where the model needs fixing first.

03

First agent

One agent on one decision, running against your model, before anything scales.

For integrators and Anthropic partners

Deploying Anthropic resources in a finance team? We bring the model layer.

AI projects in finance stall when nobody owns the cost and profitability logic underneath. We work behind your team on that layer: driver design, allocation rules and the EPM model the agents operate.

30+
Years in cost and profitability models
200+
Integrated EPM models built
Chair
IMA Profitability & Cost Management SIG
Contact

Talk to the principal who will design your model.

No forms and no sales team. Write to us about the decision you need to support. You’ll get a reply from Pedro San Martín within two business days.

It helps to include
The decision. Pricing, product exit, branch or unit funding, capital allocation.
The platform. Oracle EPM module and version, or what you run today.
Who owns the model. Finance, IT or a partner, and what isn’t working.
Pedro San Martín
Founder & Principal
Price, Profitability & Cost Management
Chair, IMA Profitability & Cost Management SIG
30+ years in cost and profitability models
Naples, Florida
Central America, Panama and the Dominican Republic
Contact Leonidas Rey, PwC Interamericas, PwC Strategic Finance Center of Excellence
leonidas.rey@pwc.com