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Pods that design, build, and run AI capability.

Pick the outcome—automation, product, or platform. We plug into your stack, move fast, and stay accountable after launch.
Engagement models

Three ways to work with one pod.

Start where you need momentum; the same accountable delivery runs through every stream.

Automation pods

Launch agents and orchestrations that remove manual effort with guardrails built in.

  • Opportunity mapping and ROI scoring with your stakeholders.
  • Guardrailed architectures with human checkpoints and escalation paths.
  • Deployment managed in your cloud with observability and runbooks ready.

Product & platform pods

Design and ship AI-native products, portals, and internal tools.

  • Rapid discovery and prototypes with product, design, and engineering together.
  • Accessible, performant builds with rigorous testing and QA.
  • Launch playbooks, change management, and analytics instrumentation.

Integration & data pods

Connect SaaS, enterprise, and legacy systems into one dependable flow.

  • API, event, and data contract design that respects governance.
  • Monitoring, alerting, and security woven into every connector.
  • Documentation and enablement for operations, security, and compliance teams.
Delivery

A loop that keeps impact visible.

Pilot fast, productise the wins, and scale with teams enabled.

01

Pilot & prove

Discovery, scoring, and a guarded pilot running in your environment.

  • Discovery workshops with domain leads and operators.
  • Impact modelling, risk review, and approval gates agreed upfront.
  • Pilot agent or workflow with telemetry, approvals, and rollback plan.
02

Build & harden

Designers, engineers, and ops extend the pilot into a resilient product.

  • Backlog, sprints, and releases managed in your tooling.
  • Design, engineering, and ML work from one shared spec.
  • Security, compliance, and data checks on every change.
03

Scale & enable

Roll out, train teams, and hand over operations with confidence.

  • Playbooks, training, and office hours for internal teams.
  • Observability dashboards tied to business KPIs.
  • Quarterly roadmap and prioritisation with stakeholders.
Playbook

What every pod delivers.

Scorecards, KPI trees, and documentation keep the loop measurable.

See the process in detail
  • Live dashboards, logs, and scorecards.
  • Security reviews and approvals baked in.
  • Enablement packs so teams run the solution day to day.
  • Shared metrics and ROI dashboards on day one.

Dockerised agents in plain language

A simple model: an AI worker lives in a container, gets the keys you approve, and reports everything it does.

Agents run in clean containers

Each AI agent ships as a Docker image with its own tools, prompts, and guardrails.

Access stays scoped

We control credentials, file access, and network reach so the agent only touches what it needs.

Connect to your stack

Agents call your CRM, ERP, or APIs through vetted connectors you approve.

Humans stay in the loop

Important actions can pause for sign-off. Every step is logged for easy review.

Scale gradually

Start with one workflow, then add more agents as confidence and ROI grow.

Deploy where you want

Run agents on your cloud or on-premise infrastructure—your data never leaves your perimeter.

Under the hood we lean on containers, scoped API keys, detailed logging, and observability so agents stay helpful and compliant.

Ready to see a pod in action?

Book a short session; we'll map your top use cases and show what the first 90 days look like.

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