Agentic AI & Bot Development

AI agents that don’t just answer. They get work done.

Automating customer support

We design, build and run AI agents and bots that plan, use your tools and finish real work across your stack. We also use agents inside our own engineering process to ship your software faster, with senior engineers reviewing every change.

  • Model-agnostic
  • Human-in-the-loop
  • Production-grade
greyloops://support-agentlive
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    What we build

    Bots and agents for every part of your business.

    From a support bot live on WhatsApp next month to a fleet of agents running your back office, we pick the right level of autonomy for each job and connect it to the systems you already use.

    Chatbots & voice bots

    Conversational bots for your website, WhatsApp, Slack, Teams and phone lines. They don’t stop at answering: they look things up, take action and hand off to a human when they should.

    WebWhatsAppSlackVoice

    Autonomous AI agents

    Goal-driven agents that plan, call your tools and APIs, and finish multi-step work on their own.

    Workflow automation

    Replace copy-paste busywork across email, docs, ERP and CRM with flows that reason about each case.

    Knowledge assistants

    RAG assistants grounded in your documents, wikis and databases, with citations and access control.

    Multi-agent systems

    Specialist agents that hand off to each other, coordinated by a supervisor that keeps them on task.

    AI inside your product

    Copilots, smart search and in-app agents added to the SaaS or mobile app your users already know.

    Inside an agent

    It thinks, acts, and checks its own work.

    Every agent we ship runs the same loop, with guardrails and human approvals where they matter. Pick a team to see how it plays out.

    1. Trigger
    2. Reason
    3. Act
    4. Verify
    5. Learn

    01 · Trigger

    A new ticket arrives by email, live chat or WhatsApp.

    Agentic Development

    We build your software with AI agents in the loop.

    Agentic development is how our teams ship faster without cutting corners. Coding agents handle the volume, and our engineers own the design, the decisions and the quality.

    Engineers leading agent fleets

    Our engineers run parallel coding agents for scaffolding, integrations and repetitive work, then focus their own time on architecture and hard problems.

    Tests written with every change

    Agents generate unit and integration tests as they write code, so coverage grows with the product.

    Legacy migrations at scale

    Framework upgrades, language ports and API migrations get split across agents and verified file by file.

    Human review on every line

    Nothing merges without a senior engineer's approval. You get AI speed with accountable, auditable code.

    src/reports/ReportService.tsdev-agent
    Implementing JIRA-482…
    Built for production

    Production-grade, not demo-grade.

    Getting an agent to work once is easy. We make sure it keeps working safely on its thousandth run.

    Evals before launch

    Each agent is tested against hundreds of real scenarios, and every prompt or model change is scored before it ships.

    Human in the loop

    Approval steps for refunds, payments, outbound messages, or anything else you choose.

    Full observability

    Every thought, tool call and cost is traced, so you can see exactly why an agent did what it did.

    Security & permissions

    Least-privilege tool access, PII redaction, prompt-injection defences and audit logs.

    Cost & latency control

    Smart model routing and caching keep responses fast and your monthly bill predictable.

    Model-agnostic

    Claude, GPT, Gemini or open-source models in your own cloud. You can swap models as they improve.

    How we work

    From idea to agent in production.

    1. 01

      Discover

      A workshop to map your workflows and rank them by impact, risk and effort. You leave with a clear first target.

    2. 02

      Prototype

      A working agent running on your real data and tools, so you can judge it on results rather than slides.

    3. 03

      Evaluate & harden

      Eval suites, guardrails, red-teaming and approval flows, tuned until quality is measurably consistent.

    4. 04

      Integrate & launch

      Connected to your stack and rolled out in stages, with humans supervising early runs.

    5. 05

      Operate & improve

      Monitoring, cost tuning and model upgrades, then expansion to the next workflow.

    Fluent in the modern AI stack.

    We choose tools for your use case and budget, not out of vendor loyalty.

    ClaudeGPTGeminiLlamaMistralLangGraphLangChainCrewAILlamaIndexModel Context ProtocolClaude Agent SDKOpenAI Agents SDK
    PineconepgvectorQdrantWeaviaten8nTemporalTwilioWhatsAppSlackMicrosoft TeamsSalesforceHubSpotZendeskShopify
    FAQ

    Questions teams ask before they automate.

    Have a different question? Talk to our AI team.

    A chatbot answers questions. An agent works toward a goal: it plans the steps, calls your systems (CRM, ERP, email, databases), checks the results and finishes the task. Many of our bots are agents with a conversational front end.

    Find the first workflow worth automating.

    In a free 60-minute workshop we map your processes, spot the high-impact opportunities and outline what your first agent would do.

    Get a senior engineer on it

    Tell us what's broken. A senior engineer gets back to you the same day.