Agent-ready modernization by Permadyn AI

Prepare existing software for an agent-driven world.

We modernize internal systems and customer-facing products so agents can find the right capabilities, understand their limits, and complete approved work safely. That may require API repair, clearer data contracts, identity, permissions, tools, approvals, evaluation, and ongoing control.

Two modernization tracks

Update the software your team runs and the products your customers use.

Internal and legacy systems

Prepare operational software, internal tools, databases, and connected workflows for controlled agent use without requiring a wholesale replacement.

  • Expose reliable read and action paths
  • Clarify data meaning and ownership
  • Add identity, permissions, review, and recovery
  • Replace brittle screen automation where practical

Customer-facing software

Give products a durable interface that agents can discover and use while preserving the product’s own rules, user experience, and commercial boundaries.

  • Define tools around valuable product outcomes
  • Support agent hosts without tying the product to one
  • Make approvals and consequential actions visible
  • Test compatibility and behavior over time

The complete interface

MCP is one adapter. The work begins earlier and continues after launch.

A useful interface aligns product intent, domain APIs, agent-facing contracts, human control, and production evidence.

Business workflow

User, task, outcome, limits

Software boundary

API, data, errors, identity

Agent interface

Tools, adapters, skills, UI

Operating evidence

Evaluations, traces, outcomes, drift

Choose the job

Start with one valuable outcome and the user responsible for it.

Define the surface

Turn product capabilities into clear tools, resources, schemas, errors, and permission boundaries.

Connect safely

Repair APIs where needed and add identity, scopes, approvals, recovery, and audit evidence.

Prove and maintain

Test real workflows, observe production behavior, and catch interface drift before users do.

Owned reference implementation

Use a real local model against a fictional legacy system.

The local AI demo makes the boundary visible. A small model can inspect synthetic evidence and recommend a change, but it cannot create permission, bypass policy, or write without a server-validated preview and explicit confirmation.

Search exceptionsInspect evidenceCheck policyPreview changeConfirm and apply

Ways to begin

Assess the boundary, prove one workflow, or modernize a connected portfolio.

Pricing stays private because software condition, data access, identity, risk, and release responsibility materially change the work.

Define the boundary

Readiness assessment

Map one or more workflows, inspect the software and data surface, identify interface gaps, and leave with a practical modernization sequence.

Prove one workflow

Focused interface pilot

Ship one complete agent-ready workflow, usually through a small tool surface, a rich read path, and one reversible confirmed write.

Expand deliberately

Product or portfolio modernization

Modernize connected APIs, identity, permissions, documentation, evaluation, and operating controls across a product or internal software portfolio.

The release boundary

Useful authority, visible limits.

The first public reference interface is read-heavy and permits one reversible write only after the exact change is shown and a person confirms it. Client authority can expand only when identity, policy, recovery, evaluation, and operating ownership justify the change.

How we evaluate agents

Choose the first job your software should let an agent complete.

Bring the workflow and whatever is known about the current software boundary. We will determine whether the next move is an assessment, focused pilot, or staged modernization program.

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