AI Agent Platform + Enterprise Orchestration

AI Agents.
Deployed in Weeks.

AI agents that assess your systems, migrate your APIs, and orchestrate your workflows — autonomously. What Big 4 consultancies build by hand in months, our agents deliver in weeks at 40% of the cost.

Agent Status
Active
Assessment Agent running
Enterprise Systems
Agent Assess
Score
Agent Migrate
Convert
Agent Orchestrate
Compose
Autonomous Agent Workflows
Projected ROI
$1.2M
Based on typical assessments
Delivery Efficiency
Agent Deployment Speed3-4x faster
Cost vs. Big 4~40%
Multi-Agent OrchestrationBuilt-in
Enterprise
Ready
3-4x
Faster agent deployment vs Big 4
~40%
Of the cost of consultancies
$589B
Agentic AI services market 2026

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.

Constraint
Getting context right
Upside
Execute code in parallel

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.

01

Legacy SaaS

Agents can't read your data, trigger your workflows, or bypass your seat licenses

02

Legacy APIs

No semantic descriptions for agents, no tool definitions, no structured I/O

03

Legacy Data

Agents need vector-ready, RAG-indexed data — not raw database tables

04

Custom Apps

Business logic locked in UIs that agents can't access or automate

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.

01

Discover

Assessment Agent inventories systems, maps dependencies

02

Assess

Assessment Agent calculates ROI, scores readiness across 6 dimensions

03

Plan

Platform generates agent deployment strategy and skill bundles

04

Migrate

Migration Agent converts APIs to agent-consumable tools

05

Orchestrate

Multi-agent workflows deployed with human approval gates

Assessment Agent

Autonomous diligence

  • Agent runs autonomously with 6 specialized tools
  • Real-time streaming — watch the agent think
  • Portfolio-wide scoring with EBITDA projections
  • Full audit trail of every agent decision

Agent Skills

Composable capabilities

  • Agent-consumable skill bundles per domain
  • Skills derived from assessments and migrations
  • Catalog of reusable agent capabilities
  • Each deployment enriches the skill library

Orchestration

Multi-agent workflows

  • Multi-agent composition with approval gates
  • Export to LangGraph, CrewAI, or AutoGen
  • Human-in-the-loop for high-stakes decisions
  • Agent governance, cost tracking, observability

Not Consultants.
Not a Framework. Agents.

MigrateForce
Autonomous agents + orchestration
Traditional
Manual custom code
Model
MigrateForce
Fixed-price, ~40% of Big 4
Traditional
$300-500/hr, time & materials
Pricing
MigrateForce
Agents deploy in 2-4 weeks
Traditional
8-12 week engagements
Speed
MigrateForce
Agents replicate across portfolio
Traditional
One-off engagements
Scale

Deploy Your
First Agent.
Today.

Our Assessment Agent runs in minutes — scoring your systems, projecting EBITDA impact, and generating an investment memo autonomously. No sales call. No commitment.