Stop paying people to copy and paste
Every business runs on exports, re-keying, and someone remembering to check a folder on Fridays. We find those loops, automate them properly, and make the failure cases impossible to miss.
- Median manual hours removed per year
- 1,900 hrsMedian manual hours removed per year
- Typical time to first automation live
- 3–7 wksTypical time to first automation live
- Average payback period
- 8 moAverage payback period
The work that never makes it into a job description.
None of these are unusual, and none of them mean anyone did a bad job. They are what happens when a business grows faster than the systems holding it up.
Our first job is to work out which of these is actually costing you money — and to tell you if the answer is none of them.
Someone spends every Monday morning rebuilding the same report.
Data is re-typed between two systems that should just talk.
Approvals live in an email thread that nobody can audit.
Onboarding one client takes eleven manual steps across four tools.
Inside automation & ai workflows.
Six areas we cover in depth. You do not have to take all of them — most engagements start with two or three.
Process automation
Multi-step workflows across your existing tools, with retries, alerting and audit logs — not a fragile chain that dies silently.
Systems integration
Two-way sync between CRM, ERP, finance and support, so one record updates everywhere instead of drifting apart.
AI-assisted workflows
Document extraction, classification, summarisation and drafting — used where they are reliable, with a human in the loop where they are not.
Internal tools
Purpose-built admin panels that replace the shared spreadsheet, with real permissions and a history of who changed what.
Reporting pipelines
Scheduled data flows into a warehouse and dashboards that refresh themselves, ending the monthly export ritual.
Document workflows
Quotes, contracts, invoices and compliance packs generated, routed for signature and filed automatically.
Everything listed here is in the contract.
No line items that turn out to be optional extras later. If it is on this list it is scoped, priced and delivered.
- Process mapping workshop
- Automation opportunity register
- ROI model per workflow
- Built & tested automations
- Error handling & alerting
- Runbook documentation
- Team enablement session
- 30-day stabilisation support
We pick boring, well-supported tools on purpose. Everything below is something your next hire can already use.
- n8n
- Make
- Zapier
- Python
- Node.js
- Airtable
- Retool
- Claude API
- Temporal
- AWS Lambda
You own every account, repository and licence we set up on your behalf.
How a automation engagement runs.
Fixed phases with a defined deliverable at the end of each. You approve one before the next begins.
- 01Week 1
Shadow the work
We sit with the people doing the task and record it step by step. Automating a process you only half understand just creates faster mistakes.
- 02Week 1–2
Rank by payback
Every candidate scored on hours saved, error risk and build effort. You choose from a ranked list with real numbers attached.
- 03Week 2–6
Build & pilot
We start with the highest-payback workflow and run it in parallel with the manual process until it has earned trust.
- 04Week 6–8
Roll out & document
Training, runbooks and monitoring, so the automation belongs to your team rather than to whoever built it.
What this looks like in practice.
Brightpath Advisory — Financial Services. 8 weeks of work, with the numbers to show for it.
Two hours of onboarding per client, reduced to four minutes
Every new advisory client required an operations analyst to move data between a CRM, a compliance portal, a document system and an accounting package — roughly two hours of copying, with a 6% error rate that compliance caught downstream. Brightpath had turned away business because onboarding capacity, not advisor capacity, was the constraint.
- Analyst time per client onboarded
- 2 hrs → 4 minAnalyst time per client onboarded
- Manual hours removed annually
- 1,940 hrsManual hours removed annually
- Onboarding error rate
- 6% → 0.4%Onboarding error rate
- Accounts onboarded in the first quarter
- 340Accounts onboarded in the first quarter
Clients who bought exactly this.
Every quote below is from a client of this specific service. We will happily put you on a call with any of them before you sign anything.
Client onboarding used to take our ops team two hours per account. It now takes four minutes of review. We onboarded 340 accounts last quarter with the same three people.
What sold me was that they told us two of our five ideas were not worth automating. That honesty is why we gave them the other three.
The invoice workflow handles 4,000 documents a month at 99.2% accuracy, and the 0.8% gets flagged for review instead of slipping through. That is the part that matters.
Automation, answered straight.
If something is not answered here, ask us directly — you will get a straight answer rather than a sales call.
In our experience it changes them rather than removing them. We automate the repetitive, error-prone portion so the same team handles more volume and spends time on judgement work. We are also straight with you: if a process is better solved by a policy change than by software, we will say so.
Every automation ships with error handling, retry logic and alerting into a channel your team actually watches. Silent failure is the single biggest risk in automation, so we design against it from the start and write a runbook for every failure mode.
Usually not. The most valuable automations tend to sit between the tools you already own. We only recommend replacing something when the integration cost genuinely exceeds the migration cost.
AI goes where the task is language-shaped and a wrong answer is recoverable — drafting, extraction, classification, triage. Deterministic code goes everywhere else. Anything financial or irreversible keeps a human approval step, without exception.
We baseline the current process in hours and error rate before building, then measure the same figures afterwards. Every workflow gets an ROI model up front and an actual result at the end.
Ready to talk about automation?
Bring the messy version of the problem. Thirty minutes on a call is usually enough for us to tell you what it would take and roughly what it would cost.
Typical reply time: under 4 business hours