Reporting & data pipelines
Manually assembled reports, scheduled data pulls, and copy-paste formatting tasks — automated to run on a schedule and deliver results without anyone touching them.
Typical saving: 30–90 min/dayAutomation consulting
We only get paid
when you save time.
Most consultancies charge for showing up. We charge for results. If our automation doesn't save your team measurable time, there's nothing to pay. That's not a slogan — it's written into how we work.
If we don't save your business time, you don't pay.
Before we build anything, we agree the baseline — how long the process currently takes. After deployment, we measure the actual time saved. Our fee is calculated from that number, and only that number. If the saving isn't there, the invoice isn't either.
We work this way because it forces us to find automations worth building, not automations that are easy to build. The discovery stage is where we earn that right.
Zero charge if zero saving
Outcome-based pricing — always
No upfront fees
Discovery and scoping is free. You commit nothing until we've agreed the baseline and the expected saving.
Saving measured, not estimated
We measure real hours saved after the automation goes live — not a projected figure from a proposal deck.
No result, no invoice
If the automation doesn't produce a measurable saving against the agreed baseline, there is no charge to the business.
How the pricing works
Three stages. You only pay at the third.
Our model is designed so that TechnoPulse's incentive is completely aligned with yours — we make more when you save more, and nothing when you don't.
01
Free discovery
We spend time with your team mapping the process, documenting the current effort, and agreeing a measurable baseline. This is at no cost, and no obligation to proceed.
02
We build the automation
Once the baseline is set, we design and build the solution. We agree an expected saving range upfront, and that range anchors what we'll charge if we hit it.
Only here do you pay
03
We measure the actual saving
Post-deployment, we measure time saved against the agreed baseline. Our fee is calculated as a share of that saving. If the saving is zero, the fee is zero.
What happens if the automation doesn't save enough time?
It happens. A process turns out to be more complex than it looked, or the volume isn't there to justify the change. We'd rather tell you that honestly in discovery than build something with no real impact.
If we build it and the saving doesn't materialise — regardless of the reason — you don't pay. Our risk, not yours.
Example scenarios
Saving achieved: 2 hrs/day × 20 people
Fee applies
Saving achieved: 45 min/day × 5 people
Fee applies
Saving achieved: Less than agreed baseline
Fee reduced proportionally
Saving achieved: Zero
No charge
Discovery only, no build recommended
Always free
The discovery process
Finding the hours before writing a single line of code.
Discovery is where most of the real value is created. It's the difference between automating something worth automating and building something impressive that nobody needed.
Step 1
Understand the process end-to-end
We shadow the task in the real environment — not a polished walkthrough — to understand every decision point, exception, and workaround that people have built around the original process.
Step 2
Measure the actual time cost
We document how long each step takes, how often it runs, and how many people are doing it. This becomes the agreed baseline — the number everything else is measured against.
Step 3
Identify what's automatable — and what isn't
Not every part of a process should be automated. We're honest about where human judgment genuinely adds value, and we only target the steps that a machine can do reliably and without risk.
Step 4
Quantify the saving before we build
We produce a clear saving estimate — conservative and optimistic — so you know exactly what you're agreeing to before work begins. No surprises at the end.
Step 5
Recommend only if it stacks up
If discovery reveals that the saving won't justify the automation, we say so. We'd rather walk away from a project than build something that doesn't genuinely help your business.
What you get from discovery
- A documented map of the process as it actually works today
- An agreed, measurable baseline of current time cost
- A clear scope of what will — and won't — be automated
- A conservative saving estimate with the pricing attached
- An honest recommendation on whether to proceed
Discovery is always free. Even if we don't proceed to a build, the process map and baseline document belong to you. Many clients find value in discovery alone, even when automation isn't the right next step.
What we automate
The processes where we most reliably find recoverable hours.
Every engagement is different, but these are the areas where discovery consistently surfaces meaningful savings — and where automation delivers reliably once built.
Cross-system data sync
Rekeying records between CRM, ERP, spreadsheets, and databases replaced by a reliable sync that runs continuously and flags only the exceptions that need human eyes.
Typical saving: 1–3 hrs/dayApprovals & sign-off routing
Manual chase-up chains and email-based approval threads replaced with structured routing, automatic escalation, and a clear audit trail for compliance.
Typical saving: 2–4 days per decisionNotifications & confirmations
Status updates, reminders, and acknowledgement emails sent manually — replaced by triggered automation that fires instantly, consistently, and without interrupting anyone.
Typical saving: 20–60 min/dayDocument processing
Extracting data from incoming documents, renaming and filing attachments, and transforming supplier or customer formats into the structure your systems expect.
Typical saving: 45–120 min/dayInternal Q&A & request handling
HR queries, IT requests, and policy lookups that route to specific people — handled by an automated layer that answers common questions and routes the rest correctly.
Typical saving: 30–90 min/day across teamsWhere AI fits into the picture
Some of the most powerful automations involve more than just rules and schedules. Where a process requires reading unstructured content, interpreting intent, classifying documents, or handling natural language — AI can extend what's automatable. We use AI selectively, as one tool among many, where it genuinely improves the reliability or scope of a solution. We won't recommend it where simpler logic does the job just as well. The measure is always the same: does it increase the time saved?
How an engagement works
From first conversation to measurable saving — in four stages.
We keep the process lean on purpose. More time spent in meetings is time not spent finding and eliminating the manual work that's slowing your team down.
01
30-minute discovery call
We find out what your team is spending time on manually. No preparation needed — a conversation is enough to identify where to look first.
02
Process mapping & baseline
We map the process in detail, agree the measurable baseline, and produce a saving estimate with pricing attached. Free, regardless of outcome.
03
Build & deploy
We design and build the automation — tested, documented, and deployed into your environment with minimal disruption to the team doing the work.
04
Measure & settle
We measure the actual saving against the baseline. Our fee is calculated from that number. If the saving is less than agreed, so is the fee. If it's zero, the invoice is zero.
Common questions
Things people ask before getting started.
How do you actually measure the time saved?
We agree the baseline measurement method at the discovery stage — typically a combination of task logs, system timestamps, and stakeholder confirmation. After deployment, we use the same method to measure actual time taken. The saving is the difference between the two, applied over the agreed measurement period (usually 30 days post-launch).
What if the process is hard to measure?
If we can't agree a reliable measurement method in discovery, we don't proceed to a build. Our model only works when both parties agree on how success will be measured beforehand. We'd rather pass on a project than build something where the saving is genuinely unmeasurable.
What counts as "no saving"?
If the post-deployment measurement shows zero improvement against the agreed baseline — for any reason, including problems with our build — there is no charge. If the saving is partial, the fee is proportionally reduced. We agree the exact calculation formula before the build begins, so there are no disputes afterwards.
Do you work with any particular technology or platform?
We're technology-led only where the problem requires it. We're experienced across integration middleware, cloud platforms, AI tooling, and workflow automation tools — and we choose what fits the process rather than what we happen to prefer. The goal is the saving, not the technology stack.
What size of business do you typically work with?
The model works best where at least 5–10 people are doing the same manual task regularly, because the saving compounds across the team. We work with companies from 30 to several thousand employees — what matters is whether there's a genuine, measurable process to improve, not the size of the organisation.
What happens after the automation is live?
We include a 30-day supported period after deployment, during which we monitor the automation and address any issues at no extra cost. After that, we can work on a maintenance basis, or hand over documentation and ownership to your internal team — whichever suits you.
0
Cost to find out what we can save you
0
Typical time from discovery to live automation
0
Of our fee tied to actual time saved
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That's a guarantee, not a tagline
Nothing to lose
The discovery call is free.
The saving is guaranteed or it's free too.
Book 30 minutes with us. We'll identify at least one process worth looking at — or it's clear this isn't right for you, and we'll say that honestly too.
Book a free discovery call