Solutions/Agentic AI

Agents that finish the task.
Not just answer the prompt.

We build autonomous AI agents that read context, call your real tools and complete work end to end — research, support, ops, code — with guardrails you control.

Start agent projectSee what agents do
Built on Claude & GPT-4 orchestration
Human-in-the-loop by default
Production-monitored, not a demo
Orchestratorsupervises 4 agentsResearchFinanceOpsNotify
→ trigger: new invoice in shared drive→ tool.call(drive.read, file: INV-2291.pdf)→ ✓ extracted 3 line items, vendor matched→ tool.call(erp.lookup, po: PO-9042)→ ✓ PO match confirmed, variance 0%→ reflect(): confidence 0.94 — proceed→ tool.call(erp.approve, id: INV-2291)→ ✓ task complete in 4.2s, human notified→ trigger: new invoice in shared drive→ tool.call(drive.read, file: INV-2291.pdf)→ ✓ extracted 3 line items, vendor matched→ tool.call(erp.lookup, po: PO-9042)→ ✓ PO match confirmed, variance 0%→ reflect(): confidence 0.94 — proceed→ tool.call(erp.approve, id: INV-2291)→ ✓ task complete in 4.2s, human notified
Not a chatbot
Executes multi-step work end to end
Not RPA
Reasons and adapts when a step fails
Not a demo
Ships with logging, guardrails, review
Not locked in
Works with Claude, GPT-4, open models

[ What we build ]

Six ways agents
earn their keep.

Every agent ships with logging, retry logic and a clear escalation path — engineered like software, not prompted like a toy.

Research & Retrieval Agents

Autonomous agents that search internal docs, the web and APIs to compile grounded, cited answers and reports.

RAGVector searchClaudeCitations

Customer Support Agents

Agents that resolve tickets end to end — reading context, calling internal tools, escalating only when confidence is low.

ZendeskIntercomTool callingEscalation logic

Coding & Dev Agents

Agents wired into your repo that open PRs, fix failing tests and review diffs inside your existing CI.

Claude CodeGitHub ActionsTest runners

Data & Reporting Agents

Scheduled agents that pull from your warehouse, reconcile numbers and deliver formatted reports untouched by hand.

SQLCron agentsSlack delivery

Voice & Conversational Agents

Real-time voice agents for intake, scheduling and support, with a clean fallback to a human on ambiguity.

Realtime APITwilioIVR replacement

Multi-Agent Orchestration

Orchestrator and worker systems where specialised agents hand off tasks under one supervising agent.

LangGraphCrewAIMCPGuardrails

[ How an agent works ]

Four steps,
every single run.

PERCEIVE
Read the trigger
The agent reads the trigger — a message, webhook or schedule — and gathers context from your systems.
PLAN
Break down the goal
It breaks the goal into steps using the tools it has access to, not a fixed script.
ACT
Call real tools
Executes tool calls against real systems — your CRM, database, APIs — inside permission scopes you define.
REFLECT
Check and escalate
Checks its own output against the goal, retries on failure, escalates to a human when confidence drops.

[ Tech stack ]

Orchestration,
not one giant prompt.

Reasoning, memory and execution are separate, observable layers — so when something breaks, you know exactly which layer to fix.

Claude Agent SDK
Reasoning engine
Claude Sonnet / GPT-4o
Reasoning engine
LangGraph
Orchestration
CrewAI
Orchestration
MCP
Tool interface
Pinecone / Weaviate
Memory & retrieval
Temporal
Durable execution
n8n
Workflow glue
Postgres
State & logs
Datadog
Observability

[ FAQ ]

Agent questions.
Straight answers.

Ask us directly

Every agent runs inside permission scopes you set, with a confidence threshold below which it stops and asks a human. We test each workflow in a sandbox against real historical cases before it touches production data.

Ready to ship an agent
that finishes work?

Free scoping call. We define one workflow and one success metric before writing a line of code.

Start agent projectBook a scoping call

Discovery is always free.