AI agents that do the work, not just the talking
We design and build custom AI agents that take action: qualifying leads, resolving support tickets, updating your CRM and running multi-step workflows across the tools you already use, with guardrails and human checkpoints where they matter.
- Works with your CRM, helpdesk and APIs
- Human-in-the-loop controls
- Full audit trail of every action
- You own the code and prompts
Agents built around your workflow
A chatbot answers a question. An agent completes a task.
Customer Support Agents
Resolve common tickets end to end, pull real answers from your knowledge base and order systems, and escalate complex cases with full context.
Sales and Lead Qualification Agents
Engage inbound leads instantly, ask qualifying questions, score them and book meetings on your sales calendar.
Internal Workflow Agents
Automate multi-step tasks across email, spreadsheets and internal tools, from report generation to data entry and approvals.
Multi-Agent Systems
Teams of specialised agents that hand work to each other (research, draft, review), coordinated automatically.
An AI agent does the work, not just the talking
An agent can look up a customer order, check inventory, draft and send a follow-up, update a CRM record, or hand off to a human at exactly the right moment, without a person driving each step.
For businesses facing rising support volumes and tight headcount, that difference is why agents have become one of the most in-demand software investments of 2026, especially in customer service and internal operations.
Why clients choose us
- 01Workflow-first designWe map the real process and success criteria before choosing a model or framework.
- 02Guardrails and approvalsAgents act within strict permissions, with human sign-off on sensitive steps.
- 03ObservableEvery reasoning step and tool call is logged, so you can see exactly what the agent did.
- 04Real integrationsBuilt against your actual CRM, helpdesk, calendar and internal APIs in staging first.
From idea to live agent
Short sprints, demos you can click, and a single accountable project manager from kickoff to launch.
- Discovery callMap the workflow and the systems it touches.
- Agent designReasoning steps, tools, guardrails and success criteria.
- Build and integrateConnect to real systems in staging with human checkpoints.
- Test and launchReal-scenario tests, tuning and monitoring at launch.
- IterateExpand capabilities as performance is proven.
Automation and AI work
Support chatbots, WhatsApp automation, document AI and workflow-heavy SaaS.
AI-Powered Customer Support Chatbot
AI chatbot that resolves order and shipping questions for an e-commerce support team.
View case study →
WhatsApp Marketing Automation Suite
WhatsApp marketing automation suite for campaigns, broadcasts and lead follow-up.
View case study →
LeaseIQ – AI Lease Abstraction, USA
AI assistant that extracts key dates, rent terms and clauses from commercial leases for US property managers.
View case study →
LoadPilot – Freight Dispatch SaaS, USA
Dispatch, load tracking and carrier management SaaS for small US trucking fleets and brokers.
View case study →
CareBridge – Telehealth & RPM Portal, USA
HIPAA-ready telehealth and remote patient monitoring portal with device data and clinician dashboards.
View case study →
JATXML Portal
Automates conversion of scholarly manuscripts into JATS XML for journal publishing workflows.
View case study →Concept projects are reference builds and solution designs that show our approach; they are clearly labelled and are not client engagements.
Tools and technologies we use
Models
Agent frameworks
Integrations
Flexible ways to work with us
Pilot Agent
One workflow, automated and measured in production.
- Workflow mapping
- One agent, 2 to 3 tools
- Human approval steps
- Success metrics report
Agent Platform
Multiple agents and integrations across departments.
- Shared tools and memory
- Role-based permissions
- Monitoring dashboard
- Milestone pricing
Dedicated AI Engineers
An embedded team that builds and runs your agents.
- From $3,500 per engineer / month
- Continuous tuning
- New workflows each sprint
- Scale with 2 weeks notice
Frequently asked questions
How is an AI agent different from an AI chatbot?
A chatbot answers questions. An agent completes multi-step tasks by calling your tools: it can look up an order, update a CRM record, send an email or book a meeting, within permissions you control.
What does an AI agent project typically cost and take?
A pilot agent automating one workflow typically takes 4 to 8 weeks and is quoted at a fixed price after a discovery call. Larger multi-agent platforms are delivered in milestones.
Can an AI agent connect to the tools we already use?
Yes. We integrate with CRMs, helpdesks, calendars, email, spreadsheets and your internal APIs, building and testing in a staging environment first.
What about accuracy and control?
Agents act only through tools and permissions we define, sensitive actions can require human approval, and every step is logged so you can audit and tune behaviour.
Do you work with US-based companies?
Yes. Most of our AI clients are international, and we keep 4 to 6 hours of daily overlap with US time zones.
Ready to put an AI agent to work?
Tell us about the workflow you want automated and we will come back with an approach, timeline and fixed-price pilot proposal.