Back-office operations agent
Reads incoming requests, updates the right records across systems and flags only the exceptions a person needs to judge.
Services / Custom AI Agents
Autonomous workflows
Custom AI Agents
Goal-driven agents that plan, call your tools and complete real multi-step work with human oversight.
Typical stack
ClaudeTool callingLangGraphPythonNode.js
The approach
Built around
Built around
the outcome.
We build agents around a specific job to be done: a defined goal, a bounded set of tools, explicit guardrails and an escalation path to a person. The agent reasons over your systems, takes the next best action and reports what it did.
- Hours of repetitive coordination work removed per person, per week
- Consistent execution of processes that used to depend on memory
- A complete audit trail of every action the agent took and why
Scope, model choice and hosting are decided with you against your data-sensitivity and cost constraints. We will recommend the simplest architecture that meets the quality bar.
Use cases
Where this
Where this
gets applied.
Each of these has a measurable baseline we can benchmark an agent against before you commit to a production build.
Research and briefing agent
Gathers, reads and reconciles sources, then returns a cited brief in your own template.
Onboarding agent
Walks a new customer or employee through every step, chasing missing documents and provisioning access.
Data reconciliation agent
Compares records between two platforms nightly and either fixes drift or raises a ticket with evidence.
Related services
All services
Often built together.
Virtual Sales & Support Agents
Always-on digital agents that answer, qualify, book and resolve across WhatsApp, web, voice and email.
ExploreRAG & Knowledge Systems
Retrieval systems that answer strictly from your approved documents, with citations and no invention.
ExploreAgentic Process Automation
End-to-end business processes run by cooperating agents across the tools you already pay for.
Explore