AI Transformation & Automation — Turn AI Into Business Results.
Make AI Work for Your Business.
One workflow, proved in a pilot. A baseline agreed before anything is built. A go/no-go decision on evidence: expand only what the pilot proved, adjust it, or stop. That is where every engagement starts — with a decision you can defend, not a promise we cannot keep.
We help growing companies automate operations, improve sales, and deliver better customer experiences with practical AI solutions — starting from the workflow, not the tool. We fix how the work flows first, then choose the AI that fits it, connected to the systems you already use.
If this sounds familiar — leads waiting too long, teams buried in repetitive work, support queues growing, tools that do not talk to each other — you are in the right place.
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What changes first
Proof first — try it, read it in full, see how it would be measured. All three are illustrative, not client results.
Try it: sales follow-up demo
A new enquiry arrives on a website form. Watch how it is qualified, recorded, and drafted — without sending anything automatically. Synthetic data only.
Read it in full: the worked example
The same lead workflow, shown end to end: trigger, data fields, draft, approval rule, low-confidence and CRM-down paths. Fictional company — not a real client, no results claimed.
See how it would be measured
The blank baseline sheet: what is counted, where it comes from, who counts it, and over what period — agreed before automation is switched on. No thresholds pre-filled, no values.
First step: one workflow, proved in a pilot — before any wider rollout. Your existing systems stay in place unless a change is agreed, and people approve decisions that matter.
What this site is not: it is not a proposal, quotation, price offer, guarantee of results, or claim of certification, partnership, vendor affiliation, or client result, unless separately verified and named.
Faster lead response
Enquiries qualified, logged in your CRM, and followed up — with a person approving the message before it goes out.
Less repetitive work
Copying, chasing, and re-typing between systems automated, so your team spends time on customers, not admin.
More consistent support
Answers drawn from your approved knowledge, checked for confidence and risk, and escalated to a person when needed.
What a pilot proves — before you commit to anything wider
This is the outcome on offer at the start. Not a result claimed for your business — a decision made on evidence from your own workflow.
A baseline, agreed first
Before anything is built, we agree what will be measured and how, so the pilot is judged against your workflow's own starting point — not against a claim.
One workflow, proved with your team
A single, well-defined workflow, run as a pilot in your existing systems, with a person approving the decisions that matter.
A go/no-go decision, in writing
At the review, the pilot passes or fails against the written measures. Pass, and expansion is proposed to the agreed scope. Miss, and the options are adjust and re-test once, narrow the use case, pause, or stop. We do not average away a miss, or change the measures after the fact to declare success.
See how it works — before you talk to us
Interactive demos
Five illustrative walkthroughs, built on synthetic data:
- Sales follow-up — an enquiry is qualified, entered in the CRM, and a draft follow-up is prepared for human approval. See the demo →
- Customer support — a question is answered from approved knowledge, checked for confidence and risk, and escalated to a person when needed. See the demo →
- Document processing — data is extracted from a document, validated, approved by a person, and then updated in the system. See the demo →
- Lead scoring — a new enquiry is scored against transparent criteria, checked against a threshold, and routed, with borderline cases reviewed by a person. See the demo →
- Purchase approval — a purchase request passes an automated policy check, then manager and finance approval, before a purchase order is issued. See the demo →
A worked example in full depth
Case 3 on the Cases page walks one sales workflow end to end: the exact trigger, the data fields used, the draft produced, the approval rule, what happens when confidence is low or the CRM is down, and week-1 baseline definitions — with no values, because no value exists yet. The company is fictional; the data is synthetic. Read the worked example →
Blank pilot templates
The How We Work page publishes the pilot documents blank on purpose: the baseline-measurement sheet, the go/no-go criteria, a sample weekly pilot report, and the controls checklist. A template shows method; a filled-in example would imply results that do not exist yet. See the templates →
The demos and the worked example use synthetic data only; the templates are published blank.
Who we help — and what changes for them
We work with SMBs and mid-sized companies that already have customers, systems, and repetitive workflows — and want AI to make those workflows faster and more reliable, not to replace their business.
Business owners & CEOs
Growth without every new task becoming a new hire's workload, starting from the one workflow that costs the most time or loses the most opportunities.
HR leaders
Onboarding paperwork, HR documents, and leave/rota admin, handled at the repetitive steps, with a person approving what matters.
Operations directors
Back-office documents, approvals, reporting, and handoffs, automated at the repetitive steps, with human approval where it matters.
Sales & revenue leaders
Enquiry, qualification, CRM, and follow-up connected, so no lead waits unnoticed and every message is approved before sending.
Customer experience leaders
Faster, more consistent answers from your approved knowledge, with urgent or uncertain cases escalated to a person.
High-risk automation — including hiring decisions, credit decisions, clinical decisions, and government systems — is not a first-phase offer, because buying cycles are longer, risks are higher, and compliance capability must be established first. No patient data, clinical advice, diagnosis, hiring outcome, or credit decision is handled by any workflow described on this page.
We agree a baseline and relevant metrics with you before implementation, then review outcomes after launch. We do not promise a percentage saving or revenue lift before evaluating the workflow.
Four problems we solve
Late lead responses
Valuable sales leads wait too long for a first response, and follow-up slips through the cracks.
Repetitive admin work
Teams lose hours to copying data, chasing approvals, and re-typing information between systems.
Overloaded support
Customer questions pile up, answers vary, and urgent cases are hard to spot quickly.
Disconnected systems
CRM, sales, support, documents, and back-office tools do not communicate efficiently.
Three solutions
AI Transformation & Strategy
Find the highest-value opportunities, prioritise risk, and build an actionable adoption roadmap before spending on software. You receive a prioritised roadmap and an honest first-use-case recommendation. Explore strategy →
AI Automation & Agents
Connect AI to CRM, email, support, documents, and internal approvals — with human escalation. You receive working workflows in your existing systems, with human checkpoints. Explore automation →
Managed AI Solutions
Keep AI useful after launch with monitoring, evaluation, cost tracking, and safe iteration. You receive monitoring, cost tracking, and iteration after launch. Explore managed AI →
How ProTech Works
1. Discover
We map your most time-consuming workflow and agree a baseline and the metrics that will judge it.
2. Opportunity Assessment
We rank the workflows worth doing — and the ones that are not — and choose the smallest one that can prove value.
3. Architecture
We define approved knowledge and data sources, and set human review, escalation, and cost controls before anything is built.
4. Pilot
We prove one well-defined use case in a pilot with your team before anything wider.
5. Deployment
We expand only what the pilot proved, to the agreed scope, with the same human review and controls in place.
6. Optimisation
We review outcomes against the agreed baseline, then expand only what works.
Full methodology: How We Work.
Why businesses can trust this process
You do not have to bet your operations on a demo. Every engagement follows the same safeguards, whether it is a single workflow or a wider transformation.
Security, project by project
Data access, retention, permissions, and human approval are defined for each project. Specific safeguards depend on the systems and contract — we do not claim a certification we do not hold.
Human oversight
AI drafts and proposes; people approve decisions that matter. Escalation paths are part of the design, not an afterthought.
Measured, then expanded
We agree a baseline and relevant metrics before implementation, review outcomes after launch, and expand only what works. We do not promise a percentage saving or revenue lift before evaluating the workflow.
What you get on the AI Opportunity Discovery Call
- A discussion of your most time-consuming workflow and where automation could help.
- An honest view of what is — and is not — a good first AI use case for your business.
- What a pilot would involve, and what we would need from your team to run it responsibly.
The call is an AI Opportunity Discovery Call. It is not a guaranteed proposal, price, or implementation commitment.
Find the first AI opportunity in your business
Tell us what takes too much time today. We will identify where AI might help, what it would take to implement responsibly, and whether a pilot is the right next step — or not.
Book an AI Opportunity Discovery Call Explore Our AI Solutions
Not ready to talk yet? See the illustrative demos — or try the AI savings calculator to estimate what automation could be worth for one workflow.
Turn AI Into Business Results. — If AI is not the right answer for your workflow, we will say so on the call.