From thesis to working systems — without ripping out what runs your portfolio.
MigrateForce gives PE teams one workflow to capture management evidence, underwrite AI readiness, plan interventions, and execute supported migration work. Your billing, ERP, CRM, and compliance systems remain the systems of record.
I'm the PE Operating Partner — rank the workflows where agentic AI creates the fastest EBITDA lift and package the downside, base, and upside case into one investment memo.
Consulting Agent
Intake • Evidence
Value Creation Agent
Plan • IRR
Assessment Agent
Scoring • Scenarios
Migration Agent
MCP • Skills • Agents
The same system answers three executive questions.
One evidence base answers the CEO's, CFO's, and CTO's versions of the same question: where does AI create enterprise value here, what is it worth, and who approves the execution.
CEO
See where AI creates material enterprise value first.
Replace scattered AI ideas with a ranked agenda tied to growth, operating leverage, and execution capacity.
CFO
Underwrite initiatives with traceable economics.
Assessment output includes formula-level rationale, three scenarios, and a decision-ready investment case instead of one-point estimates. Scenario math is not a substitute for accounting — your finance systems still own the books.
CTO
Execute with governance, not architectural drift.
Move from plan to supported migration work through reusable skills, connectors, approval gates, and run records.
Enterprise AI programs fail on operating friction, not ambition.
The bottleneck is not whether teams believe in AI. It is whether systems, workflow context, and execution controls are ready for agents to do real work.
Legacy SaaS
Agents cannot create leverage if they cannot access the workflow, data, and approvals that run the business.
Legacy APIs
Most APIs were designed for developers, not agent execution: no semantic tool definitions, no structured I/O, no operating context.
Legacy Data
Raw tables do not become useful because a model can see them. Agents need retrieval-ready, governed, business-aware data structures.
Custom Apps
Business logic trapped inside UIs creates the last-mile bottleneck. Agents need system-level access, not screen-by-screen workarounds.
Modernize the systems agents need to reach.
MigrateForce does not stop at strategy. It converts the parts of the enterprise stack that block AI execution into governed, reusable infrastructure.
SaaS
Extract workflow logic, permissions, and operating context so agents can act through the systems your teams already use.
APIs
Convert technical endpoints into agent-consumable tools with clearer semantics, safer execution patterns, and reusable definitions.
Data
Turn disconnected records into retrieval-ready knowledge layers, benchmark datasets, and evidence the pipeline can reason over.
Apps
Lift business logic out of brittle interfaces and recompose it into governed, agent-orchestrated workflows across the stack.
Every stage produces an artifact the next stage can use.
Evidence becomes scores, scores become a ranked plan, the plan becomes governed execution. Nothing restarts from a blank deck, and no handoff re-briefs a new team.
Consult
Consulting Agent
Interview packs, operating contradictions, handoffs, and bottlenecks become a structured evidence base the next stage can use.
Assess
Assessment Agent
The assessment model turns operating evidence into a traceable investment case with multiple scenarios and explicit assumptions.
Plan
Value Creation Agent
Operating metrics connect to specific AI interventions so the roadmap reflects financial contribution, not internal politics.
Execute
Migration Agent
Supported templates, connectors, approval gates, and validation steps turn an approved plan into migration work against the systems your portfolio already runs.
Auditable methodology. Replicable across the portfolio.
The value is not one good engagement. Scores, delivery patterns, and tool mappings carry to the next company you run through the same method — and the one after that.
MigrateForce
Structured analysis begins as soon as the required inputs are available
Typical project-based approach
Manual analysis, stakeholder drift, and repeated rework
Decision Speed
MigrateForce
Scores, scenarios, and supporting evidence shown together
Typical project-based approach
Black-box judgment that changes by team or consultant
Auditability
MigrateForce
Assessment output feeds the plan, and the plan feeds delivery
Typical project-based approach
Strategy decks and implementation teams split apart
Execution Continuity
MigrateForce
Skills, patterns, and tool mappings compound across engagements
Typical project-based approach
Each project restarts from scratch
Portfolio Reuse
The same safeguards on every engagement, every portfolio company.
Data isolation, access controls, encryption, and agent governance are not configured per deal — they are how the platform runs, documented in our Data Processing Agreement.
Tenant Isolation
Organization scoping and row-level security policies protect covered product records, with authorization checks at the application boundary.
Access Controls
Authenticated handlers and role or organization checks restrict access to portfolio data and governed actions.
Hosted Data Protection
Hosted services use encrypted connections and provider-managed storage protections. Confirm environment-specific requirements during enterprise review.
Governed Agent Execution
Migration runs can stop for an explicit approval decision before execution. Agent sessions retain status, messages, and tool activity where the workflow supports them.
Run an assessment from your operating context.
Score readiness from operating context, review conservative, base, and aggressive scenarios, and give leadership one clear starting point for strategy, finance, and technology. Free during beta — no sales call required.