AI Workflows
AI takes over the repetitive work.
We find the work in your business that AI does well, build it with people kept in the decisions that matter, and measure it in hours and rupees.
What we build
Workflows that give your team its time back.
Enquiry to conversation
Every new enquiry gets a fast, personal reply on WhatsApp or email, a few qualifying questions, and a route to the right person.
Follow-up and appointments
Reminders, nudges and booking handled for you, so no enquiry waits.
Reporting without spreadsheets
Advertising, CRM and sales data in one live view.
Content with human review
AI drafts, our editors check every piece, in your voice.
Assistants and custom tools
Tools that answer from your own documents and software built to fit how your team works.
Back-office workflows
Data entry, document handling, status updates and approvals, taken off people's desks.
These are examples. The right first workflow comes out of the audit, not out of this list.
The Webfynd process
Eight steps, from "where do we start?" to "it runs without us."
Every step ends in something you can read, question and keep. Nothing goes live until it has been proved on real cases.
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Step 1
Listen to the work
Days 1 to 5We talk to the people who do the work, and we watch it being done. We map every step, tool, hand-off and wait, in plain words, without assuming where AI will help.
You getA process map of how the work really runs today, agreed with the people who run it.
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Step 2
Count the cost
Weeks 1 to 2For each task we measure how often it happens, how long it takes, who does it, what a mistake costs and how clean the data is. This is the baseline everything is judged against later.
You getA baseline of hours and rupees for each workflow, as it runs today.
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Step 3
Rank honestly
Week 2We score each workflow on hours saved, effect on revenue, risk and how ready the data is. Some work should stay with people, and we say so.
You getA ranked list with the time saved and cost for each, and an honest list of where AI helps and where it does not.
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Step 4
Design the checkpoints
Week 3For every step we decide whether to automate it, assist a person, or leave it with a person. We set the review points, the rules on privacy and data, and who is responsible for what, before anything is built.
You getA workflow blueprint, with written rules on privacy, review and responsibility.
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Step 5
Build a pilot
Weeks 3 to 6We build a working version for one process, with the people who will use it, and connect it to the tools you already use: your CRM, WhatsApp, email and spreadsheets.
You getA working pilot, tested by your team.
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Step 6
Prove it on real cases
Before launchBefore it goes live we run real past cases through it and compare the result with what a person did. We fix what it gets wrong and test again.
You getAn accuracy check against real cases, and the list of fixes made.
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Step 7
Launch with a safety net
Go-liveIt goes live with logging, a fallback to a person, alerts when something looks wrong, and a clear off-switch. Each side has a named owner.
You getA run guide, and a named owner on both sides.
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Step 8
Measure, tune, extend, hand over
Every monthEvery month we review hours saved, errors, speed and the effect on conversions, and tune what we built. Once the pilot has shown its value, we extend to the next process. We document it, train your team and hand it over.
Ownership and handover terms are set out in the agreement before development starts.
You getA monthly review against the baseline, documentation and training, and the next workflow ready to build.
How we work
Four principles behind every workflow.
People stay in the decisions that matter
We aim to remove repetitive tasks, so your team spends its time on judgement and on conversations with customers.
Privacy is decided before we build
We explain what leaves your systems and agree the rules with you first.
One pilot before any roll-out
A small, successful pilot teaches more than a large plan. We start with one process that is repetitive, well understood and costs real time each week.
Measured in hours and rupees
Every workflow is judged against a baseline we measured together, so the benefit is a number, not a feeling.
Questions
Questions about AI workflows.
Will AI replace our staff?
Our work is aimed at removing repetitive tasks, so staff can spend their time on work that needs judgement and conversation with customers. We do not build systems to remove people from decisions that matter.
Is our data safe?
We choose tools and set-ups with your data in mind, explain what leaves your systems, and agree the rules with you before we build.
Where should we start?
With one process that is repetitive, well understood and costs real time each week. A small, successful pilot teaches more than a large plan.
Will we own what you build?
Yes. Ownership and handover terms are set out in the agreement before development starts.