Case study · Telecoms
IXT

They'd dabbled with AI too. Now their whole revenue team is moving onto it.

In April IXT had a marketing team of one, a CRM nobody could target off, and a Claude experiment from a year earlier that had gone nowhere. Five months later their CMO runs sourcing, qualifying, CRM repair, outreach, campaign builds and content through one AI system on their own HubSpot, and they've bought the next phase.

75/100
portal health check across 13 areas
5
company skills, signed off one at a time
45
prompts in their own playbook
Sector
IoT and SIM connectivity
Engagement
HubSpot AI agent (Super Agent)
Timeframe
April to September 2026
Built on
Claude and HubSpot
The situation

Tools, not a plan, and a CRM nobody could target off.

HubSpot was in place, there was an appetite for AI, and no safe plan to connect the two. Claude had been tried a year earlier and shelved, because it couldn't do the job then. Marketing was one person, the lead gen seat was sitting empty, and reporting was rebuilt by hand every week out of the same spreadsheets.

Around 3% of the 4,024 companies in the CRM had ever reached a deal, and the other 3,891 looked identical on the fields you'd filter by. Targeting was guesswork wearing a filter. When anyone asked a generic AI tool about pipeline, the answer came back confidently wrong, because it had never heard of IXT's deal stages.

That isn't an AI problem. It's that nothing they'd bought knew how the company works.

What we did

Prove it by hand. Automate it last.

Every skill built, self-critiqued, tested on the live portal and signed off before the next one started.

Week one
Connect and audit

Official connector, scopes reviewed object by object, smoke tests on the real portal, and a HubSpot audit across 13 areas that scored 75 out of 100, with every remediation task owned by a named person at IXT.

Weeks two and three
Teach it the business

Five skills: tone of voice, ICP, internal definitions, product detail and CRM structure. Each one versioned in a changelog the client signs. Live testing caught a factual error in one, which is exactly what that step is for.

Week four
Train the humans

A 45 prompt playbook, a 45 minute live session and the recordings, plus a written go or no-go with a recommendation on what to build next.

Then
One play at a time

Each automation proved by hand with a human check at every step, then scheduled, then handed over. Department by department, in the order that keeps people believing it.

What changed in five months.

Lead gen

running inside marketing, built and proved before the hire even started.

5 workflows

live: prospecting, CRM hygiene, campaign build, content and reporting. None existed in April.

On demand

deal review, call prep and a board summary in minutes, instead of rebuilt by hand each week.

4 departments

marketing live, the CEO and CFO using it, sales and development onboarding through the rollout.

“Now that it's so connected to our HubSpot, it knows exactly what to do. It's all factually correct. It's kind of spot on.”
Ingunn Bjøru
Ingunn BjøruCMO, IXT

Built by Mark Byrne, Technology Director at Imagine Growth, with Rikki Lear.

Watch it work

Thirty minutes of Monday prep, in seconds.

One prompt, typed in plain English. The ICP, Definitions and CRM Structure skills load above the answer without anyone asking for them, because the task matched. That's why the answer comes back in IXT's language, about IXT's pipeline, citing IXT's data.

The IXT Super Agent running a Monday deal review: a plain English prompt, the ICP, Definitions and CRM Structure skills loading automatically, and a short pipeline narrative citing HubSpot data
From IXT's own training material: the prompt their sales team onboards onto, on their live portal.
What she did with it

Then she started building things we never sold her.

In August the CMO took on lead gen herself. A few weeks later all of this was running, and none of it was on our scope.

The 22,000 row spreadsheet

Claude found around 500 genuinely unique companies in it, scored every one against the ICP and ranked them. Now it hands over 10 a day, creates the records in HubSpot, sets the owner and drafts the email. A list that had been sitting there dead was booking meetings inside three days.

The old, cold leads

Hundreds of contacts qualified by hand at some point, then left to go stale. There's now a daily batch: scored against the ICP, given an owner, a link to the contact card and an outreach email waiting. Live opportunities recovered from a part of the database everyone had written off.

The 800 empty fields

Scoring kept returning almost nothing new, so she asked it why: 800 companies had no industry recorded. She got a spot-check sample, then a spreadsheet of over 300 confident fixes, and approved the lot. Fixed in an afternoon.

The webinar campaign

She wrote the campaign down roughly and asked for a plan. It redesigned the invite, checked the copy and landing page, then built the emails, workflows and properties one step at a time, with her approving each one. It picked the right properties because it can read the portal.

Content and design, without the queue

Blog posts written against the gaps their AI search tool flags, on a schedule, and a slide deck built in their brand that she used as it came out.

In her words
“They're already saving me so much time. And I think almost the challenge is to keep up.”
Ingunn Bjøru
Ingunn BjøruCMO
“I tested Claude a year ago and it didn't feel like all of this was fully possible in any way.”
Ingunn Bjøru
Ingunn BjøruCMO
“I was so limited in thinking what I can give to AI to do.”
Ingunn Bjøru
Ingunn BjøruCMO
The obvious question

Same tool. Same portal. Why did it work this time?

The first attempt was a person trying a tool. The second was a system built around one. Nothing about Claude changed in that year.

We found out what was actually wrong first. The 13 area audit showed that almost the entire database looked identical on the obvious fields. Anyone scoring on industry and country would have passed nearly everything and concluded the AI was useless.
We knew where the mines were. Their prospecting agent had no exclusion lists at all. Left alone it could have emailed existing customers, open deals and opted-out contacts. Three suppression lists went in before anything was switched on.
We taught it the business, and made them sign it off. A DIY build has no step where somebody is wrong on purpose and fixes it.
Then we made the humans capable of running it without us. Five months later she builds her own automations and we're not in the room.
The real thing

Two of the actual deliverables, in their brand.

Not mockups. This is what landed in IXT's hands, and what every department onboards onto.

Training slide explaining the five IXT Claude skills: tone of voice, ICP, definitions, product info and CRM structure, each loading automatically when the task matches
From the training deck. Nobody asks for a skill by name. Claude loads the right one when the task matches.
The IXT Prompt Playbook: 45 curated prompts across 9 categories, searchable by role, each with a difficulty, a run time, a cadence and a copy button
The Prompt Playbook, a live app on IXT's brand: 45 prompts across 9 categories, filtered by role. Tap copy, paste into Claude, get a pipeline risk review.
What they bought

A phased programme, not a pilot that goes nowhere.

Phase 1 was a fixed-price proof of concept with a written go or no-go. Phase 2, scheduled reporting, was priced per report. Phase 3 was left unpriced until Phase 1 had earned it. They bought Phase 2, and the prospecting agent on the Phase 3 list became the lead gen system that went live in August.

Reporting on demand. Monday deal review, one-page call prep, at-risk deals ranked by value, closed-lost patterns, a board revenue summary and a live pipeline dashboard. Every one cites the HubSpot data behind it.
A workspace they own. Two key admin, billing in their name, everything in their own tenant. If they sacked us tomorrow they'd keep all of it and it would keep working.
A person presses send, always. Every drafted email waits in a review queue, and scoring writes its verdict in plain English on the record, so a rep can argue with it.
No pound figure here. IXT's numbers belong to IXT. What we can tell you is which line items stopped, and that they bought the next phase without being asked twice.

What would this do on your HubSpot?

Tell us what your team still does by hand, and we'll tell you what an AI layer on your CRM would actually change, including if the answer is not much. You'll speak to Rikki, not a salesperson.

Rikki Lear
Rikki LearCommercial Director