Service 02

AI Agents & Workflow Automation Consulting

An agent is software that plans, acts, and verifies — not just answers. We build agents with narrow mandates, explicit tool permissions, and human approval gates exactly where the risk sits, so autonomy is earned step by step.

3–8 weeks from mapped workflow to supervised production runsTypical timeline
4Capabilities
4Deliverables
7Tools & platforms
Typical timeline3–8 weeks from mapped workflow to supervised production runs

What it includes

01
Workflow agents

Agents that execute multi-step business processes end to end — reading queues, calling APIs, updating records in Salesforce, SAP, or your ERP — with every action logged.

02
Multi-agent orchestration

Coordinated agent teams for processes no single agent should own: one plans, one executes, one verifies — with deterministic handoffs and escalation paths.

03
Human-in-the-loop design

Approval gates, confidence thresholds, and review dashboards so people supervise judgment calls while agents handle the mechanical middle.

04
System & hardware I/O

Connectors to email, webhooks, IoT telemetry, RPA bridges, and legacy interfaces — agents that touch the real inputs and outputs your operation runs on.

What you get

What lands in your hands at the end, not activity reports.

  • Deployed agent(s) with a scoped tool inventory and permission model
  • Full action audit log with replay for every run
  • Escalation and approval workflow wired to your team's channels
  • Load and failure testing — what the agent does when an API is down

Where it is used

  • 01Logistics: monitoring carrier telemetry and executing pre-approved rerouting playbooks
  • 02Finance: assembling compliance evidence packets from six systems automatically
  • 03Operations: triaging inbound requests and routing with full audit trails

Tools and platforms we work with

Claude Agent SDKLangGraphRPA (UiPath, Blue Prism)Advanced API IntegrationsIoT Sensor Data StreamsHardware I/O TelemetryCustom Python Micro-agents

Solutions that use it

The same service, framed by the problem it solves.

Related reading

Next · AI inside it
AI Data Strategy & Predictive Model Development
4–10 weeks depending on data condition; audit alone in 2