Score Your Portfolio.
Migrate Your APIs.
Measure the Outcome.
AI agents that assess readiness across 6 dimensions, convert REST APIs to agent-consumable tools, and track realized value against projections. For operating teams, platform engineers, and technical leadership.
Don't Bolt AI
Onto Old
Workflows
The gap is widening between teams that redesign processes for AI agents and those that just layer AI on top.
- 01
Design for agents from scratch
There's a fundamental difference between applying AI agents to an existing process and designing a process from the ground up for AI agents. The teams that do the latter will pull far ahead.
- 02
Workflows must be redesigned
It would be ideal if all the gains came for free — but AI has clear constraints (like getting context right) and clear upsides (like executing code and running in parallel). Workflows must be rebuilt to exploit both.
- 03
Agents are expert engineers for your business
Agents that can write code, run it, and interact with any API are effectively expert engineers applied to your business process — deployed at scale, around the clock.
- 04
Imagine infinite capable engineers
What would you do if you had an infinite number of capable engineers writing software for your process? Engineers who connect your data sources, comb through unstructured data, automate repeated tasks, and wire your systems together.
- 05
The upside is everywhere
Across marketing, finance, operations, and sales — there are tasks every day where a programmer with infinite code-writing and API access would make things go far faster or produce far more output. The teams that think this way will operate entirely differently.
Design for Agents
From Scratch
There's a fundamental difference between taking an existing process and applying AI agents to it vs. designing a process from the ground up for AI agents.
The gap will widen between teams that redesign for agents and those that just bolt AI on top.
Workflows Must
Be Rebuilt
AI has clear constraints — like getting context right — and clear upsides — like executing code and running in parallel. You can't capture those gains without rethinking the workflow itself.
Your Systems
Can't Talk
to Agents
AI agents are only as good as the systems they connect to. 70-95% of agent deployments fail on integration — not model quality. MigrateForce agents solve this autonomously.
Legacy SaaS
Agents can't read your data, trigger your workflows, or bypass your seat licenses
Legacy APIs
No semantic descriptions for agents, no tool definitions, no structured I/O
Legacy Data
Agents need vector-ready, RAG-indexed data — not raw database tables
Custom Apps
Business logic locked in UIs that agents can't access or automate
One Platform.
Every System Agent-Ready.
SaaS
Our agents extract your data, workflows, and business logic — autonomously.
APIs
Migration Agent converts APIs to agent-consumable tools with semantic descriptions.
Data
Agents build RAG pipelines, vector stores, and knowledge bases from any source.
Apps
Extract business logic and recompose as agent-orchestrated workflows.
The 5-Phase
Agent Deployment Playbook
Each phase deploys a specialized agent. Assessment Agent scores readiness. Migration Agent converts systems. Orchestration Engine composes multi-agent workflows. ROI is measured continuously.
Discover
Assessment Agent inventories systems, maps dependencies
Assess
Assessment Agent calculates ROI, scores readiness across 6 dimensions
Plan
Platform generates agent deployment strategy and skill bundles
Migrate
Migration Agent converts APIs to agent-consumable tools
Orchestrate
Multi-agent workflows deployed with human approval gates
Assessment Agent
Autonomous due diligence
- 8 scoring engines incl. Newton-Raphson IRR on DCF
- 6-dimension readiness scoring, 19 industries, 71 segments
- Conservative/Base/Aggressive scenarios with S-curve ramps
- Full audit trail — every decision streamed via SSE
Agent Skills
Skills that compound
- SKILL.md format with 9-category taxonomy
- Auto-derived from assessments, not hand-authored
- Quality scoring across 5 dimensions (0-100)
- Each engagement enriches the library for the next
Orchestration
Multi-agent governance
- 7 step types: sequential, parallel, conditional, loop, approval
- Export to LangGraph, CrewAI, or AutoGen — not locked in
- Human approval gates between high-stakes phases
- Per-session cost tracking and token-level observability
Auditable Methodology.
Replicable Across Portfolio.
Run Your First
Assessment.
5 Minutes.
The Assessment Agent scores your systems across 6 dimensions, projects EBITDA impact with Conservative/Base/Aggressive scenarios, and generates an investment memo. Free during beta. No sales call.