Services

Four disciplines. One controlled operation.

Engagements can start in any one area, but they are designed to fit together: integrations feed agents, agents run on well-built infrastructure, and everything is looked after deliberately.

Start a conversation See how we work

Automation & Integration

Most operational friction lives between tools. We map how work really flows, then connect and automate it with clear ownership, retries and visible failures.How we approach API, webhook and CRM/ERP integration.

Discuss this area

Business process automation

Turn repetitive, error-prone manual steps into dependable automated workflows with clear ownership and audit trails.

Typical scope

Process discovery and mapping with the people who run it today
Workflow design with explicit exception paths and manual fallbacks
Implementation on maintainable, well-documented tooling

Deliverables you keep

Process map and decision log
Automated workflows with monitoring
Runbook for exceptions

Illustrative example — not a case studyAn operations team re-keys order data from email into an ERP each morning. The workflow is mapped, an intake parser is built with a validation step, and anything ambiguous is routed to a person instead of guessed.

API & system integration

Connect CRMs, ERPs, finance tools and in-house systems so data moves once, correctly, and visibly.

Typical scope

Integration architecture: sources of truth, ownership, sync direction
API connectors, webhooks and event pipelines with retries and idempotency
Data mapping, reconciliation checks and failure alerting

Deliverables you keep

Integration architecture diagram
Connectors with tests
Reconciliation and alerting rules

Illustrative example — not a case studyA company runs sales, billing and support in three separate tools that disagree about customer status. A single customer record of truth is defined and the other systems are synchronised to it through monitored connectors.

AI Agents & Orchestration

AI agents are useful for bounded, well-defined work. We design them with least-privilege access, evaluation before launch and human approval at consequential steps.How we build AI agents with human approval.

Discuss this area

AI agents with human gates

Practical AI agents that take on bounded, well-defined work — and hand control back to people at the decisions that matter.

Typical scope

Use-case selection: where an agent helps, and where it should not act
Tool access designed on least privilege, with explicit approval checkpoints
Evaluation sets, logging and review loops before anything goes live

Deliverables you keep

Agent design and permission model
Evaluation suite
Human-gate and escalation policy

Illustrative example — not a case studyA support team wants faster first responses. An agent drafts replies from approved knowledge sources, but every customer-facing message passes a human approval gate until review data justifies more autonomy.

Multi-agent orchestration

Coordinate several specialised agents and automations as one controlled system, with traceable hand-offs and stop conditions.

Typical scope

Orchestration design: roles, hand-off contracts, shared state
Guardrails: budgets, timeouts, stop reasons and escalation paths
Observability across the whole chain, not just individual steps

Deliverables you keep

Orchestration blueprint
Trace and audit logging
Operating and rollback procedures

Illustrative example — not a case studyA research workflow chains a collector, an analyst and a reviewer agent. Each hand-off is logged, the chain stops on low-confidence results, and a person signs off before anything leaves the system.

Linux, Servers & DevOps

Servers and delivery pipelines that can be rebuilt from code, patched predictably and changed safely, from a single host to a small fleet.How we approach Linux and DevOps engineering.

Discuss this area

Linux engineering & server design

Hardened, reproducible Linux servers designed for the workload — from a single host to a small fleet.

Typical scope

Server architecture, sizing and network layout
Baseline hardening, access control and patching strategy
Configuration as code so every server can be rebuilt predictably

Deliverables you keep

Reference architecture
Provisioning and configuration code
Access and patching policy

Illustrative example — not a case studyA business runs critical services on one long-lived, hand-configured server. Its configuration is captured as code, a rebuilt replacement is validated side by side, and cut-over happens with a tested rollback.

DevOps & infrastructure management

Delivery pipelines, environments and infrastructure that let teams ship changes safely and repeatably.

Typical scope

CI/CD pipelines with tests, reviews and promotion gates
Infrastructure as code for cloud and on-premise environments
Secrets handling, backups and disaster-recovery rehearsals

Deliverables you keep

Pipeline definitions
Infrastructure-as-code repository
Backup and recovery runbooks

Illustrative example — not a case studyDeployments happen by copying files to production on Friday evenings. A pipeline with automated checks and a staging environment is introduced, and production releases require an explicit approval step.

Managed Operations & Support

Ongoing care for systems we build or inherit, plus senior technical advice when you need a second opinion. Scope and response terms are agreed in writing.

Discuss this area

Managed operations

Ongoing care for the systems we build or inherit: monitoring, maintenance and continuous improvement under an agreed scope.

Typical scope

Monitoring and alerting tuned to what actually needs attention
Scheduled maintenance, patching and capacity reviews
Regular reporting on incidents, changes and recommendations

Deliverables you keep

Service scope and response terms
Monitoring dashboards
Periodic operations reports

Illustrative example — not a case studyAfter an integration project, the client prefers not to staff in-house operations. A defined maintenance window, alert routing and a monthly review keep the system healthy within an agreed scope.

Technical support & advisory

A senior technical partner for questions, reviews and escalations — without the overhead of a full-time hire.

Typical scope

Architecture and vendor reviews before you commit
Escalation support for complex incidents
Knowledge transfer and documentation for your team

Deliverables you keep

Written recommendations
Incident reviews
Team documentation

Illustrative example — not a case studyA technical founder is choosing between two automation platforms. A short review compares them against the real workflows, data ownership and exit costs, and ends with a written recommendation.

Honest scope

Deliverables listed here are typical, not fixed packages. Actual scope, timelines and pricing are agreed per engagement after an initial conversation. We do not publish guaranteed outcomes, availability promises or certifications.

Not sure which area fits?

Describe the situation as it is today. We will help you separate the real problem from the symptoms.

Start a conversation