AI Automation
We build workflow automations that handle the repetitive work your team shouldn't be doing manually. Every build starts with process mapping, so we automate what you actually do, not what a generic template assumes you do. You get working automations, handover documentation, and monitoring built in. From £1,500 ex VAT, fixed price.
One automation, start to handover
2–4 weeks
Week 1
Process mapping
No build starts until the mapping is done
Weeks 2–3
Build and internal testing
Tested against your live data, including edge cases
Week 4
User testing and handover
Documentation written for the people who will use it
From £1,500 ex VAT
Fixed price. No day rates and no open-ended billing.
Ready to talk?
30-minute call. No obligation.
Your team is spending hours every week copying data between systems, chasing approvals, generating the same reports, and re-entering information that already exists somewhere else. You know some of it could be automated. You may have tried Zapier or Make and hit a wall when the process turned out to be more complicated than a simple trigger and action.
Insightful AI workflow automation builds start from £1,500 ex VAT as a fixed price. That covers process mapping, the automation build itself, testing against your live data, handover documentation, and monitoring setup. There are no day rates and no open-ended billing.
Against that price: manual inefficiencies cost an average UK organisation £35,000 per year and 71 lost workdays annually (UK workflow automation research, 2025). A single automation handling one daily process often pays for itself within weeks.
The fixed-price model removes that risk. 30 to 50% of automation projects underperform because they were scoped poorly or tried to do too much at once (McKinsey). We scope a specific workflow, agree the price, build it, and hand it over. If your needs are more complex or span multiple systems, we quote individually after the scoping workshop.
Boutique AI agencies charge £1,000 to £1,400 per day. Pilot automation projects at larger firms run £20,000 to £60,000. Our pricing reflects the fact that most SMEs, charities, and public sector teams need one or two workflows automated well, not a six-month programme.
Most repetitive tasks that follow a consistent pattern can be automated, including data entry between systems, report generation, invoice chasing, client onboarding paperwork, approval routing, and email-triggered workflows. If someone on your team does the same sequence of steps more than five times a week, it is worth mapping.
In our work with North West organisations, we regularly see these patterns:
For SMEs: Customer onboarding that touches a CRM, accounting software, and a project management tool. Invoice processing that requires data to move between email, spreadsheets, and payment systems. Lead qualification that pulls information from web forms into a sales pipeline.
For charities: Grant application processing where information moves between email, spreadsheets, and case management systems. Donor acknowledgement workflows triggered by payment platforms. Safeguarding referral routing across multiple internal systems.
For public sector teams: Freedom of information request tracking across departments. Procurement approval chains with multi-stage sign-off. Performance reporting that pulls from three or four data sources into a single dashboard.
The scoping workshop identifies which processes in your organisation will give the best return. We look at how long the task takes, how often it runs, how many people it touches, and how error-prone it is. That produces a ranked list, and we start with the workflow that saves the most time. If you want a broader assessment first, our AI at Work service works through your team's actual tasks and identifies which ones are automation candidates.
Workflow automation coordinates tasks across a whole process, moving data between systems, triggering actions based on conditions, and routing work to the right people. RPA (robotic process automation) mimics screen-level human actions, clicking buttons and copying fields the way a person would. AI-powered automation adds the ability to handle unstructured data and context-aware decisions.
The distinction is worth understanding because most SMEs do not need RPA. RPA was built for large enterprises running legacy software where the only way to move data was to simulate a human clicking through screens. It is expensive to maintain and breaks when the software interface changes.
Workflow automation using platforms like Make.com, Zapier, or n8n connects systems through their APIs (the direct data connections that software providers build for exactly this kind of integration). It is faster to set up, cheaper to run, and far more reliable.
When a process involves unstructured information, like reading an email and deciding what to do with it, or extracting data from a document that does not follow a fixed template, AI-powered automation handles what neither basic workflow tools nor RPA can.
We recommend the right approach for each workflow. Most organisations need workflow automation. Some need AI-powered automation for specific tasks. Very few need RPA.
A single workflow automation takes two to four weeks from scoping to handover. That includes process mapping in week one, building and internal testing in weeks two and three, and user testing plus handover documentation in the final week. Simpler workflows can be faster. Multi-system automations with complex branching logic may take longer.
We do not start building until the process mapping is done. 70% of digital transformation projects underperform due to behavioural and change-management issues, not technology (McKinsey). Skipping the mapping stage is the most common reason automation projects fail or produce automations that nobody trusts enough to use.
The scoping workshop (the entry point to all implementation work at Insightful AI) maps your processes and identifies which workflow to automate first. Everything that follows has a clear scope and timeline before any build begins.
For a worked example, read how a two-stage reporting system gives a Formula 1 team ISO 31030-aligned travel-risk advisories in hours rather than days, verified claim by claim before delivery.
No. Every automation we build at Insightful AI comes with handover documentation written for the people who will use it, not for developers. The documentation covers what the automation does, how to check it is working, what to do if something fails, and who to contact for changes.
We test with your team before handover. If the people who interact with the workflow daily cannot explain what it does and how to check on it, we have not finished the job.
The automation platforms themselves (Make.com, Zapier, n8n) have visual interfaces. You can see the workflow as a diagram, check the run history, and spot where something paused or errored. We walk your team through this during handover.
Post-handover support is available if you need changes or want to add new workflows later.
Every automation Insightful AI builds includes monitoring, alerting, and human-in-the-loop checks at decision points. If something fails, the automation pauses, logs what happened, and notifies the right person. You receive handover documentation covering what to do for each failure type.
Automations fail for predictable reasons: a connected system changes its data format, an input falls outside the expected range, or an API connection drops. We test against your live data and deliberately test edge cases (the unusual inputs that break poorly built automations) before handover.
Where a workflow involves a high-value or high-risk decision, we build in a human approval step. The automation prepares the information and routes it for review rather than acting on its own. You choose where that line sits during the scoping phase.
Yes. Insightful AI builds automations that meet UK GDPR (the UK's data protection law) requirements. Every build involving personal data includes documentation covering what data moves where, the lawful basis for processing, and data retention rules. For charities handling beneficiary data and public sector teams processing citizen records, this documentation is designed to satisfy audit and procurement review requirements.
Automation platforms like Make.com and Zapier operate data processing within parameters you define. We configure the data flows, retention policies, and access controls as part of the build. The handover documentation includes the information your data protection officer or compliance lead needs.
44% of UK SMEs planned to invest in automation in 2024, with an estimated £2.6 billion of SME spend on automation that year (Beaming SME IT Adoption Report, 2024). Data protection concerns should inform how you automate, not whether you automate.
We build on Make.com, Zapier, and n8n, choosing the right platform for each workflow based on complexity, volume, budget, and your existing systems. We are not tied to a single vendor. Insightful AI recommends the tool that fits your situation, not the one that pays us a commission.
Make.com handles complex, multi-step workflows with branching logic well and costs less than Zapier at high volumes. One recruitment agency found that migrating from Zapier to Make cut their subscription costs by over 70% (AferStudio comparison, 2025).
Zapier connects to the widest range of business applications and works well for straightforward trigger-and-action workflows.
n8n is open-source and self-hosted, giving you full control over your data. It suits organisations with strict data residency requirements or IT teams that want to manage the infrastructure themselves.
For advanced use cases where workflows need to make decisions, handle exceptions, or operate across multiple systems with minimal human input, we use emerging agentic frameworks. When a workflow outgrows what standard automation can do, we design agentic AI workflows that handle the complexity.
| DIY (Zapier or Make self-service) | Insightful AI workflow automation build | |
|---|---|---|
| Process mapping | You figure out what to automate and how | We map what you actually do before building anything |
| Tool selection | You choose based on what you've heard of | We recommend the right platform for each workflow |
| Build | You build it yourself | We build it, you review and test with us |
| Testing | You test as best you can | We test against your live data and edge cases |
| Documentation | Often skipped | Full handover documentation included |
| Monitoring | Manual checks or none | Monitoring and alerting built in |
| Governance | Not considered | Human-in-the-loop controls and data handling documentation |
| Ongoing support | Community forums | Post-handover support available |
DIY works well for simple, single-step automations. When you send a form response to a spreadsheet or trigger a Slack notification from an email, self-service is the right call.
Where processes involve branching logic, exception handling, cross-system data flows, regulated data, or high volumes (5,000+ runs per month), DIY tools become expensive and brittle. That is where our builds earn their cost back.
58% of UK SMEs now use some form of process automation, up from 41% in 2023 (Tech Nation, cited in SwiftCase 2026 guide). This is no longer an early-adopter technology.
UK companies investing in automation saw an average 5% revenue increase within three months and grew jobs rather than cutting them (CEBR, cited in S&W Group 2025 survey). Automation comes for the task, not the person. It handles the work people do not want to do: re-keying data, chasing status updates, copying information from one screen to another.
35% of UK SMEs were actively using AI in 2025, up from 25% in 2024 (BCC/Intuit). The barrier is not technology. It is knowing where to start and having someone design the automation properly. That is what the scoping workshop is for.
Process mapping. We map the workflow as it actually runs, not how a manager thinks it runs. Who does what, in what order, with what data, and where does it break? This is the step most failed automation projects skip.
Build. We construct the automation on the right platform, with conditional logic, error handling, and monitoring. You see it working against your own data before we move on.
Testing. We test the standard path, the edge cases, and the failure modes. Your team tests it in their own daily work with us available to adjust.
Handover. You receive full documentation covering what the automation does, how to check on it, what to do if something fails, and how to request changes. We walk your team through everything.
Monitoring. Every build includes alerting so you know immediately if something pauses or errors. You do not find out a week later that invoices stopped going out.
For charities, every build includes documentation suitable for trustee reporting and funder accountability. For public sector teams, the documentation meets audit and procurement review requirements.
Automation runs on data moving between systems. If your data is inconsistent, duplicated, or scattered across spreadsheets that nobody maintains, the automation will inherit those problems.
We check data quality during the process mapping stage. If the data needs work before the automation can run reliably, we flag it and can help through our data preparation and advisory service. Better to fix the data first than build an automation that moves bad data faster.
Standard workflow automation follows rules you define. It works well when the process is consistent: if X happens, do Y.
When your processes need to make decisions (not just follow rules), handle exceptions that do not fit a template, or operate across multiple systems without constant human input, you need agentic AI workflow design.
We help you decide which approach fits each workflow. Many organisations use both: standard automation for predictable processes and agentic workflows for the complex ones.
If your team is spending hours on manual processes and you are not sure which ones to automate first, the AI readiness assessment gives you a clear picture of where automation will have the most impact.
If you already know which process you want automated, book a free discovery call and we will scope it.
Whether you're just getting started or looking to scale, we'll help you find the right path, responsibly.