Single-task agents
Focused agents for one workflow, such as ticket triage or invoice matching, with a clear definition of done.
AI agents that finish the work, not just the conversation
We design task-focused AI agents that read context, choose the next step, act inside your systems through secure tools and pause for human approval where it matters. Every agent is scoped to one measurable job, tested against real cases and monitored after launch.
Agent runIllustrative
- Built with
- LangGraph · MCP
- Control
- Human approval steps
- Runs on
- Your cloud or ours
- Measured by
- Task completion rate
Overview
Where agents earn their keep
Agents work best on repeatable work that spans several systems and still needs judgement: triaging requests, preparing documents, reconciling records or chasing follow-ups.
We start by mapping one workflow end to end, decide which steps the agent owns and which stay with your team, and then build the smallest agent that delivers a visible result.
Capabilities
What we build
Each engagement is shaped to your use case. These are the building blocks we combine most often.
Capability
Capability
Multi-agent systems
Specialist agents that research, draft, check and route work between one another under an orchestrator.
Capability
Tool and API calling
Secure connectors to CRMs, ERPs, email, calendars and internal APIs, including Model Context Protocol (MCP) servers.
Capability
Human-in-the-loop controls
Approval steps, confidence thresholds and escalation rules so people stay in charge of sensitive actions.
Capability
Memory and context
Short- and long-term memory so agents remember customer history, preferences and earlier decisions.
Capability
Observability and guardrails
Tracing, evaluation sets, cost tracking and policy filters for every run in production.
Use cases
Where teams use it
Work this service handles well. We help you pick the one with the clearest return to start.
Browse use cases by industry- Triage support tickets, tag priority and draft first replies
- Qualify inbound leads and update the CRM with notes
- Match invoices against purchase orders and flag gaps
- Prepare weekly operations and sales reports
- Onboard new employees across HR, IT and payroll tools
- Run compliance checklists and collect missing evidence
Technology
Tools we work with
We pick the stack for your requirements and existing systems. A sample of what we use regularly.
Models
ClaudeGPTGeminiLlamaMistral
Frameworks
LangGraphLangChainCrewAIOpenAI Agents SDKMCP
Platforms
AWS BedrockAzure AI FoundryGoogle Vertex AI
Engineering
PythonNode.jsFastAPIPostgreSQLRedis
Process
From first call to production
The same proven path for every project, sized to your scope.
01
Discover
Map the opportunity, the people involved and the outcome we will measure.
Output · Workshop02
Define
Review data, workflows and systems, then agree architecture and scope.
Output · Plan and estimate03
Prototype
Test the AI approach on your real data before building the full product.
Output · Working proof04
Build and integrate
Develop in short sprints and connect to your systems, with demos every sprint.
Output · Production release05
Launch and improve
Go live, monitor quality and cost, and improve based on real usage.
Output · Ongoing supportFAQ
Common questions
Can't find what you need? Ask us directly and we'll reply within one business day.
Ask a questionHow is an AI agent different from a chatbot?
A chatbot answers questions. An agent works toward a goal: it plans steps, uses tools such as your CRM or ERP, checks its results and completes a task. Many projects combine the two, with a chat interface on the front and an agent doing the work behind it.
Can an agent act inside our systems safely?
Yes. Agents only get the permissions you approve, through scoped API keys or service accounts. Sensitive actions such as payments, deletions or customer emails can require a person to approve them first, and every action is logged.
How do you know whether an agent is working?
Before building, we agree on a success measure such as time saved per ticket or the share of cases completed without rework. We build an evaluation set from real examples and track the same measure after launch.
Related services
Often combined with
RAG Application Development
Assistants grounded in your documents, databases and policies, with sources people can check.
ExploreAI Chatbot Development
Website, WhatsApp and in-app assistants that resolve questions and hand off to your team with context.
ExploreGenerative AI Development
Content, document and creative generation tuned to your brand, data and review process.
ExploreStart a conversation
Have a workflow that eats your team's week? Let's see whether an agent can take it on.
Book a free consultation with our AI team. You'll leave with a clear view of feasibility, approach and next steps.