a week UK employees lose tracking down information
More than a full working day, every week — and 55% say their work stalls while they wait on other teams.
Atlassian, State of Teams 2025 · chart assumes an 8-hour dayYour people already use AI. Your company doesn’t feel it yet. We connect your Slack, Drive, calls and documents into one company brain, train your team to work with it, and automate the processes that slow you down — so individual AI gains turn into company results.
We pull every piece into one place
Chats, documents, calls and people stop living in separate tools. We link them — who worked on what, what was decided, and when.
One brain that knows how it all connects
Every chat, document and call is linked to the people, clients, projects and decisions it’s about — so your team can ask questions no single tool can answer.
people working with AI after four weeks of training
ImLink, 8 sessionsa week UK employees lose tracking down information
Atlassian, State of Teams 2025faster search for a client running our company brain
Client under NDAMore than a full working day, every week — and 55% say their work stalls while they wait on other teams.
Atlassian, State of Teams 2025 · chart assumes an 8-hour dayWhen they leave, colleagues can’t do 42% of their job.
Panopto and YouGov, 1,001 US employeesGeneral AI tools don’t know your clients, projects or decisions. So people paste context in by hand — or don’t use AI for the work that matters most.
Most teams already use ChatGPT, Claude or Copilot on their own. Each person saves a little time, but nothing joins up: answers sit in private chats, knowledge stays in people’s heads, and the processes look exactly as they did before.
The Uprising company brain reads your Slack and Telegram channels, Google Drive, call transcripts and forms. It maps your people, projects and decisions — and how they change over time — then answers in the chat tools your team already uses. There’s no new app to learn.
Slack, Telegram, Google Drive, call recordings and forms.
A knowledge graph linked back to the original messages and documents.
In Slack or Telegram, in a private message or a team channel.
Names, clients and answers in this demo are illustrative. How the brain works · Use cases
Standard AI search finds text that looks similar to your question. On messy chat history, that’s where it starts making things up. Our brain finds the connection in the graph first, checks it against the original message, and only then answers — so questions about people, projects and who did what get the right answer.
“…the onboarding bot keeps timing out on step 3…”
92%“…Sam is responsible for the HR onboarding bot…”
88%“…spring offsite — who’s responsible for the deck?”
81%“…Priya fixed the webhook for the integration…”
46%“I’ll own the rollout until it’s live.” — Tom, 14 Mar
31%“Sam is responsible for the onboarding bot.”
“Tom led the onboarding bot from March to May.”
Slack · #northwind · 14 MarIllustrative example: names and messages are invented.
Five phases. Each one leaves you with something you own, even if you stop there.
We interview your team, map how work actually gets done and score your AI readiness. You get a process map, 3 to 4 quick wins and a roadmap with expected impact.
You keep: process map, quick-win shortlist, roadmapHands-on sessions built on your own documents and tasks, not a generic course. Every session is recorded, and a before-and-after test shows leadership the change in numbers.
You keep: recordings, prompt library, before-and-after reportWe automate the top items on your roadmap — call notes into tasks, proposals from transcripts, weekly reporting — and measure each one before and after.
You keep: working automations, measured resultsAn AI use policy, a shared prompt library and simple rules your team will actually follow.
You keep: AI policy, shared standardsWe connect your sources, build the brain and roll it out in Slack or Telegram. From 2 weeks on ready-made tools to 2 months for a custom build.
You keep: the brain, on your infrastructure if you chooseImLink started with one person using AI. After eight sessions over four weeks, 14 people were working in Claude and the team had built 9 agents of its own. Tasks that used to take a day now take minutes.
Preparation time down 70–90% for a payments company, with pricing standardised.
Post-call processing down 80–90%, with no manual task entry.
Time spent searching down 70–80%.
Manual workload down 60–70%, saving 8–12 hours a week per employee.
The brain is the first step. Here’s where it goes next — and what’s live today.
Answers questions about your projects, people and calls, sends daily and weekly activity reports, and drafts proposals and contracts from what it knows.
You give it a goal, not a question: “Get us ready for tomorrow’s meeting with Northwind.” It pulls the client history, open tasks and latest messages into a brief before the call.
A control centre for leadership: which people and which agents can see and do what, with approvals, an audit trail and costs in one place.
| Build it yourself | Big consultancy | Uprising AI | |
|---|---|---|---|
| First result | Depends on who has spare time | Usually after a long strategy phase | Audit in 2 weeks, first automation in 1 to 4 weeks |
| Who it’s built for | Whoever builds it | Large enterprises | Companies too small for the big firms |
| Your team | Learns by trial and error | Training is often a separate project | Trained on your own documents as part of the work |
| Your data | Wherever your tools put it | Depends on the firm | Our cloud set-up or your own infrastructure (AWS, Google Cloud, Azure) |
| What stays with you | What gets finished | Reports and recommendations | Process map, recordings, prompt library and the working brain |
| Price | Your team’s time | Priced for enterprise budgets | Fixed packages from £12,500 |
On our cloud set-up or on your own infrastructure in AWS, Google Cloud or Azure.
OpenAI, Anthropic or Google — we work with the provider your company prefers.
For teams with different access needs, we build role-based access on top of the brain.
Every client project runs under a written data processing agreement that follows UK GDPR and EU GDPR.
When a project ends, we return or delete your data on your instruction.
2 weeks. Process map, quick wins and a roadmap with expected impact.
6, 8 or up to 13 sessions, built on your own documents and tasks.
To set up on ready-made tools, or from £18,000 as a custom build. Ongoing support from £3,500 a month.
Audit, training and your first automations in production, as a fixed-price package.
Training is paid upfront. Packages: 70% upfront, 30% on delivery of the working solutions. Full pricing.
We’re opening a marketplace of independent teams that build company brains for their clients. Every team is reviewed before it’s listed.
An AI that knows your business. It reads your team’s chats, documents and call transcripts, connects people, projects and decisions, and answers questions in Slack or Telegram. Unlike a chatbot, it remembers how things changed over time and checks each answer against the original messages.
ChatGPT and Copilot are general tools: they don’t know your clients, your projects or who decided what. We don’t replace them. We connect AI to your company’s knowledge and processes, and train your team to use it on real work.
The audit takes 2 weeks and ends with 3 to 4 quick wins. Each automation goes live in 1 to 4 weeks, and a company brain takes from 2 weeks on ready-made tools to 2 months for a custom build. ImLink went from one person using AI to fourteen in four weeks.
No. We build, connect and support everything. We do ask for one person on your side to own the project — without an owner, new tools don’t stick.
Not before the audit, and we’d be wary of anyone who does. We measure your current numbers first, give you ranges from similar projects, and report before-and-after results for every pilot.
We’re based in London and work with companies across the UK and Europe, online or on site.
Book a 30-minute demo. We’ll show the brain running on our own company and map where it would help yours.