AI Agents & Workflow Automation

Build AI agents that act only within approved workflows.

Denalix designs bounded agent workflows that use authorized tools, connect to existing systems, route exceptions to people, and leave reviewable evidence of every action.

Named technologies represent implementation capabilities—not packaged integrations, required architecture, certified partnerships, or unrestricted agent access.

The opportunity

Orchestrate the work without surrendering control.

An enterprise agent should not be a general-purpose bot with broad access. It should have a defined objective, permitted context, approved tools, clear budgets, review points, and a complete operational trace.

Capabilities

Build the workflow around the work.

Each capability is configured to the customer’s process, source systems, review model, and production controls.

Agent & tool design

Define bounded tasks, permissions, tool contracts, review points, budgets, and failure handling.

Semantic Kernel modernization

Evolve existing orchestration toward maintainable agent and tool patterns where appropriate.

Microsoft Agent Framework

Design workflows around current Microsoft agent capabilities when they fit the customer environment.

MCP connectors

Expose approved business capabilities through explicit, permissioned tool interfaces.

Azure AI Search & Azure OpenAI

Build governed retrieval and model workflows within compatible Azure architectures.

API & legacy integration

Wrap stable enterprise actions as controlled tools instead of replacing proven systems.

A controlled flow

Make every handoff visible.

The workflow moves forward with evidence, defined authority, and a trace of how each step was completed.

01
Scope
Define objective, authority, evidence, and failure boundaries.
02
Connect
Expose approved data and actions through permissioned tools.
03
Orchestrate
Combine deterministic steps, models, search, and review.
04
Evaluate
Test behavior, tool use, injection resistance, cost, and latency.
05
Operate
Monitor every action and improve under controlled change.

IllustrativeHealthcare-operations example · referral readiness

Prepared contextHuman review required

ObjectivePrepare referral packet readiness review

Workflow policy

Tools allowedDocument read · eligibility lookup · queue update

Role policy

Action blockedPatient communication requires approval

Authorization rule

Trace7 tool events recorded

Audit log

Review gateAuthorized person owns the next action

Accountability boundary

The agent gets a job—not a blank check.

Agents receive the least context and authority needed for the task. Sensitive actions require explicit policy and, where appropriate, human approval.

AI Workflow Assessment

Plan a bounded agent workflow.

Choose one workflow and define the tools, controls, evaluation, integration, and operating model it needs.

Book a consultation