AI Agents & Intelligent Automation

We build AI agents and assistants that do real work in your business. They answer from your own knowledge, process documents, update your ERP and CRM, and pass the task to a person when they should. Every agent comes with guardrails, audit logs and human review where it matters.

// What we build

AI that works inside your processes

  • AI agents & agentic workflows

    Agents that read, decide and act across your systems over several steps, for example qualifying leads, reconciling invoices or sorting tickets.

  • RAG knowledge assistants

    Assistants that answer from your documents, policies and product data, with citations and access control, and without made-up answers.

  • Internal copilots

    Copilots for sales, support, finance and operations teams, built into the tools they already use.

  • Document processing

    Extract, check and route data from invoices, purchase orders, KYC documents, contracts and forms.

  • Customer-facing assistants

    Website, WhatsApp and in-app assistants that answer questions, capture leads and book meetings, by text or voice.

  • AI operations & evaluation

    Monitoring, test sets, prompt and model tuning, cost control and switching between model providers.

// How we deliver

From first call to working software, without months of paperwork

We skip the long requirements document. AI-assisted analysis and early prototypes let you see and test the solution before you commit to a full build.

  1. 01

    Discovery call

    30 to 45 min

    We learn your goals, current tools, data and the processes that slow your team down. We mostly ask questions.

    Shared notes and a shortlist of opportunities

  2. 02

    Gap analysis

    ~48 hours

    We map the current process and use AI-assisted analysis to find where automation, integration or AI saves effort, split into quick wins and bigger projects.

    Gap report with prioritised use cases and rough ROI

  3. 03

    Blueprint & prototype

    ~1 week

    You get the architecture, a clickable or working prototype of the key flow, and a fixed-scope estimate, so you decide based on something you can try.

    Solution blueprint, prototype, fixed-scope proposal

  4. 04

    Build in weekly steps

    Weekly demos

    AI-assisted engineering with a demo every week. You test features as they are finished and can change priorities from one week to the next.

    Working software every week, in your environment

  5. 05

    Run & improve

    Ongoing

    Monitoring, model and prompt tuning, usage analytics and support, so the solution keeps improving after go-live.

    An agreed support SLA and a monthly improvement report

// How we keep it safe

Guardrails from the start

  • Grounded answers

    Agents answer from approved sources and say so when they don't know.

  • Tool-level permissions

    Agents act only through tools you approve, and the server checks every action.

  • Human review

    A person approves payments, refunds, contracts and anything that can't be undone.

  • Privacy & audit

    Minimal personal data, data residency options and a full log of what the agent did and why.

// Selected work

Recent AI Agents & Automation projects

Client names are withheld under NDA. Ask us for a private walkthrough of any of these projects.

All selected work
  • Printed document on a clipboard on a work deskLogistics · UAE

    Invoice-processing agent for a finance team

    Challenge
    Supplier invoices in many layouts were typed into the ERP by hand.
    What we built
    An agent that reads invoices, checks them against purchase orders and posts draft bills. A person approves exceptions.
    • Document AI
    • Python
    • Odoo API

    ~60% less manual entry

  • Support agent working on a laptopSaaS · UK

    Knowledge assistant for customer support

    Challenge
    Agents searched five different sources to answer the same questions.
    What we built
    A RAG assistant inside the helpdesk that drafts answers, with sources, from docs, past tickets and release notes.
    • RAG
    • Vector search
    • Helpdesk API

    First-response time down ~25%

  • Rows of industrial machinery on a factory floorManufacturing · India

    Sales copilot for a B2B manufacturer

    Challenge
    Reps spent evenings writing quotes and follow-up emails.
    What we built
    A copilot that summarises calls, drafts quotes from the price list and logs activity to the CRM.
    • LLM agents
    • CRM API
    • Email

    Quote turnaround from 2 days to same day

Have a process that takes hours every week? We will show you what an agent could do with it.

Book a discovery call
// FAQs

AI Agents FAQs

Which AI models do you use?

We work with Claude, GPT, Gemini and open-source models. We choose per use case based on quality, cost, speed and data residency, and we build so you can switch later.

Can the agent connect to our ERP or CRM?

Yes. We often connect agents to Odoo, Salesforce, HubSpot, Zoho, helpdesks, email and custom databases through their APIs.

How do you stop the AI from making things up?

We use retrieval from approved sources, strict instructions, tool-only actions, test sets and human approval for sensitive steps. We measure accuracy before go-live.

How soon can we see something working?

Usually within one to two weeks of the gap analysis, as a working prototype on your own data.

Put AI to work where your team loses the most time.

Tell us about the process and we will show you the agent.