AI development companies · CRM
Keep a record of each enquiry from first question to a running system.
A CRM for an AI development company is a shared record of every enquiry, proof of concept and production contract, with the sample data and objections attached. GullySales works on the fields, stages and habits that make that record useful to a small team.
Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

What CRM means
A CRM is the record where every enquiry, call and quote is kept against a customer, replacing separate notebooks, spreadsheets and memory. GullySales sets up or cleans an existing CRM and reports from it by enquiry outcome rather than by activity logged.
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Sales and marketing for AI development companies, the overview.
Last updated 18 Oct 2026.
For AI development companies
Where it usually goes wrong, and what we would do.
“The sales cycle has stages a standard CRM does not include”
A standard pipeline goes from lead to proposal to won. Yours also has sample data received, proof of concept scoped, proof of concept running, results reviewed and production agreed. Without those stages, stalled work looks the same as live work.
“The data question is a deal event”
When a client's IT head asks where information goes, the deal changes pace. If that question and its answer sit in someone's inbox, the next person to speak to the client starts from nothing.
“Proofs that never reach production go unexamined”
Without a record of why a proof of concept ended, the same mistake repeats. A reason code on each closed proof shows whether the problem was data, scope, budget or interest.
“Partner-sourced enquiries are easily lost”
A software house that passes on a request expects to hear what happened. If the source is not recorded, the partner hears nothing, and the next referral goes to a competitor.
What we do
What we deliver for AI development companies.
Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.
A stage list for your sales cycle
Stages from first enquiry to production, with a plain exit rule for each so everyone moves a project in the same way.
Result: A pipeline that tells stalled from live at a glance.
Fields that matter
A short list: use case, source, sample data status, data approver, sponsor, proof-of-concept scope and reason for a loss.
Result: A form that takes a short time to fill and answers the questions you ask later.
Setup in a tool you already use
A working configuration in a CRM used in India, or a simple shared sheet if that is what fits a small team.
Result: A tool the team opens daily, not one that waits for a review.
A source and partner log
A record of which partner, talk or search page produced each enquiry, with a reminder to report back to the partner.
Result: Partners hear what happened to what they sent.
A closed-proof review habit
A short note on every proof of concept that ends, covering what the data looked like and what the client decided.
Result: A written pattern of why proofs succeed or stop.
How the result is measured
- Enquiries logged in the CRM
- Data completeness
- Reports generated from CRM data
Recorded as a baseline before work starts, so every later report has an honest comparison.
Who it is for
This is written for these AI development companies.
- Conversational AI and WhatsApp assistant builders
- Document reading and data extraction specialists
- Voice agents and call analysis providers
- Computer vision firms for factories, retail and security
- Recommendation and forecasting model builders
- Generative AI application developers for enterprise teams
- AI consultants who build proofs of concept for startups
- Agent and workflow automation builders
How it works
How the CRM work runs
The work itself, in order. How an engagement starts, from your brief to a written scope, is set out on our method page.
- 1
Map the sales process
We record how a deal actually moves from enquiry to close in your business today.
- 2
Configure stages and fields
The CRM's pipeline and fields are built to match that process exactly, not a generic template.
- 3
Set up automations
Reminders, assignment rules and follow-up triggers are configured so routine steps happen without manual effort.
- 4
Test with real deals
We run the configuration against actual current deals to catch gaps before the whole team relies on it.
Where this fits
Three pieces of sales work, in this order.
This work sits inside sales management. A target, a review routine and someone who owns the number.
Step 1
Sales audit
Find where deals are being lost and what to fix first.
Start here if you cannot say where orders are lost.
Step 2
Sales process design
One written way to sell, from first enquiry to repeat order.
Start here if every salesperson sells differently.
Step 3 · you are here
Sales management
A target, a review routine and someone who owns the number.
Start here if the team has targets and no routine.
FAQ
Questions owners ask before they call.
Not here? More answers, or ask on WhatsApp.
Do we need a paid CRM for a team this size?
What should we record from a first call?
Who should own the CRM?
How much does it cost?
How long is the contract?
How soon will we see results?
Who will actually do the work?
What do you need from us?
What if we are not happy with the work?
More for AI development companies
Everything else we would do for you.
Closest to this: leads and follow-up
Also for AI development companies
Or start from the overview: sales and marketing for AI development companies.
Your next practical step
Tell us what you are trying to grow, and we will read it before we call.
Eight short steps, mostly taps. Skip anything you would rather answer on the call.