IT & Digital Delivery

Automation is where advice becomes hours saved. Our delivery capability takes the processes identified in a review and builds the working reality: scripts and integrations that move data, generate documents, route approvals and compile reports — reliably, invisibly, and with a human checkpoint wherever judgement matters. This page explains how we deliver, what we build, and the disciplines that separate automation that lasts from automation that breaks the first time someone changes a filename.

The delivery lifecycle

1. Specify. Each automation is written up in plain language before anything is built: the trigger, the steps, the exceptions, the owner, and the measure of success. If we cannot describe it simply, we do not yet understand it — and we do not build it.
2. Build in the sandbox. Automations are developed against copies of your data and run in parallel with the manual process first, so results can be compared rather than hoped for.
3. Pilot with real work. A limited live run — one team, one work type, one week — with a documented rollback to the manual method at all times.
4. Roll out and document. Full deployment comes with a one-page runbook per automation: what it does, what it touches, how to pause it, and who to call.

What we typically build

• Document assembly. Quotes, proposals, engagement letters and forms generated from system data — consistent, branded, version-controlled, and mistake-proof.
• System-to-system flows. Web forms into your CRM, orders into the job system, job outcomes into invoicing — the elimination of double entry at each seam of the business.
• Approval and escalation chains. Purchase orders, leave, discounts and variations routed to the right person, with automatic reminders and an audit trail.
• Scheduled jobs. Overnight data syncs, weekly KPI compilation, invoice chasers and backup verification — the clockwork that keeps a business tidy.
• Alerts and exception reports. Automations whose whole job is to notice: stock below threshold, a job stuck in a stage, a variance against budget.

Integration patterns we trust

Where systems offer supported connectors and APIs, we use them — the less custom code, the less that breaks. Where they do not, we favour well-understood, low-maintenance patterns: scheduled file exchange, shared data tables, or simply redesigning the process so two systems do not need to talk. Elegant integration is often a process decision, not a technical one.

Change management is part of the build

An automation that the team does not trust gets quietly abandoned, so delivery includes the adoption work: early involvement of the people whose tasks change, training in the new routine, a visible fallback during the transition, and a stabilisation fortnight in which we monitor, measure and adjust. Adoption is measured and reported — it is not assumed.

Our honest limits

We do not automate unstable processes, judgement calls, or anything whose failure mode we cannot contain. We do not build shadow systems nobody else can maintain. And when a manual process is genuinely the right answer — low volume, high variability — we will say so and save you the build.

Quality assurance on every build

Automations earn trust through testing, and ours go through a fixed routine before anything touches live work. Every build is exercised against a copy of your real data, including the awkward cases — the order with an unusual date format, the customer with two addresses, the attachment that is always missing. We test the failure paths as deliberately as the happy path: what happens when the source system is offline, when a field is empty, when the same record arrives twice. Each automation ships with its results recorded — inputs, expected outputs, actual outputs — so the next person who maintains it inherits evidence, not folklore. And every build carries a simple kill switch: a documented way to pause it and fall back to the manual method within minutes, which is the difference between an incident and an adventure.

Two delivery examples

Concrete examples communicate better than categories, so here are two builds from recent engagements. The first: a trade services business receiving job requests by phone and email, transcribed onto paper and re-keyed into their job system. We built an automated intake that converts email and web-form requests into structured job records, validated and deduplicated, ready for scheduling — the re-keying disappeared and the transcription errors with it. The second: a community organisation compiling monthly funder reports from five spreadsheets. We built a scheduled pipeline that consolidates the programme data into a single core set and renders each funder's format automatically, with an exception report that flags gaps while there is still time to fix them. Neither build is remarkable; both have run without drama since delivery — which is precisely the point.

Frequently asked questions