Transform

Step 1 · Diagnose

Read a company's cached outside-in diagnostic and the finance AI maturity self-assessment inside the Transform suite.

Step 2 · Prioritize

Score and rank an AI portfolio on value against complexity.

Step 3 · Design

Designing the operating model around agentic work.

Step 3 · Design

Map process to activity, decide what happens to each unit of work, and read the effect on roles, delivery channels and data lineage.

Step 3 · Design

Compose a finance technology target architecture — components with owners and requirements, sourcing calls scored on five axes, provider portability by construction — checked live by the evaluation engine.

Step 3 · Design

Rationalize a report estate, compose a governed KPI tree from approved metric contracts, and route every insight to a named decision, action and accountable role — checked live by the evaluation engine.

Step 3 · Design

Compose the data foundation an agentic finance function depends on: canonical objects with versioned contracts, a deterministic formula registry, provenance that never invents an origin, and governed data products validated for rights, privacy, retention and tenancy — checked live by the evaluation engine.

Step 3 · Design

Compose the risk-and-control matrix an agent-operated close depends on: financial-reporting risks mapped to ICFR assertions, key controls with owners and testable evidence, agent authorities with independent approval and rollback or compensating controls, and a deterministic close-case replay — checked live by the evaluation engine.

Step 3 · Design

Model a finance operating model from an archetype or a public company, then work it through capabilities, initiatives, sequencing and a roadmap.

Step 4 · Build

Book realized value against a source asset, a value lever and a quarter, and watch it accumulate across the Transform suite and over time — with modeled figures counted separately and kept out of the realized total, corrections netting against what they correct, and every source asset that has booked nothing named beside the number.

Step 4 · Build

Read the current- and future-state role profiles out of an org model, see which roles arrive, end or change size, and give each material group a named owner and a communication plan. Exposure ratings are disclosed as the directional tag they are, nothing is judged material until a threshold is declared, and a group reached only by broadcast is reported rather than counted as covered.

Step 4 · Build

Read the current- and future-state dispositions out of a process map, see which activities hand over from a person to a machine, and group them into cutovers with a named rollback owner. Sensitive domains are declared rather than inferred, a changeover that writes data is told apart from one that only reads, and a design that hands nothing over is reported as unstarted rather than as complete.

Step 4 · Build

Read the current- and future-state skill profiles out of an org model, see where required proficiency rises and where it falls, and assign each material gap a lever — build, redeploy, or buy — with a named owner and a reason. Coverage and the supply assumption travel with every figure, and nothing is judged material until a threshold is declared.

Step 4 · Build

Sequence a finance transformation's initiatives into release windows derived from their own duration estimates, declare the dependencies between them, and see which declared constraints the schedule contradicts — a predecessor landing after what waits for it, a hard dependency between two things arriving in the same release, and circular chains no ordering satisfies. Nothing infers an edge: the charters carry enablers as prose and no dependency field at all.

Step 4 · Build

Record and review declared agent instances against the finance agent catalogue — environment, catalogue version, accountable owner and record state — with coverage across every catalogued agent, version drift against the shipped catalogue, and instances naming agents the catalogue no longer carries. It records declarations, not observations, and says so.

Step 4 · Build

Operate the change-impact assessment over the full finance agent registry: rank where the portfolio concentrates so one change reaches most of it, walk the transitive blast radius of a proposed change, derive materiality from whether it lands on a figure that has to reconcile rather than from breadth, and surface the agents that declare no provider adapter in the governed source.

Step 4 · Build

Operate the deterministic evaluation harness: edit and extend a versioned golden dataset, run per-agent release decisions against the full agent registry with agents refused rather than passed when they carry no evidence, keep a run history that makes a regression an attributable outcome change, and export a machine-readable evidence bundle the release gate reproduces.

Step 4 · Build

The finance agent reference library and the CFO Value Orchestration suite, each with a downloadable multi-SDK build bundle.

Step 4 · Build

The KokoAI asset registry, the Lead-to-Cash seam pilot and the process framework studio.

Step 5 · Govern

Controls, risk tiers, and assurance for agents in production.

Step 5 · Govern

The governance catalog declares a test procedure for every control and a cadence for none of them. Declare how often each control is tested, on what population, from which evidence source and by whom; coverage is reported as a number rather than one finding per uncovered control, and the page states that no test has run rather than leaving an absent results column to be read as no failures.

Step 6 · Operate

The executive cockpit — KPIs, scenarios, and an agent operating model.

Step 7 · Brief

Type, dictate, or load an RFP's scope and assemble a tailored pack of published offerings and live surfaces — every selection shows the terms that matched.

Step 7 · Brief

Assemble a company-specific, persona-framed executive deck from the site's own intelligence.