Advisory

We'll get youAI-native.

Most leadership teams are making AI decisions based on a version of AI that no longer exists. We train your team, deploy your first AI project, and stay until AI is part of how you work.

Workshop session around a table in a daylit office
Deployed partnersPart of the Claude Partner Network
Moment GroupNorthmill BankPophousetm:rwAprèsKumaLeonh
What AI-native looks like

The same job, a fraction of the time

Every person in your organisation doing what they already do, but 10x faster. Nobody learns to code or picks up a new app: AI takes the busywork out of the job they already have, and people keep the parts that need judgement.

Sales Lead

○100 prospects contacted
9:01 AM
○8 proposals drafted
9:15 AM
○CRM updated
auto
○Follow-ups scheduled
done
○Client calls
10:00 AM

A full day of outreach. Done before coffee.

Operations Manager

○Weekly KPI report
4 min
○Invoice matching
32 invoices
○Team summary
drafted
○Expense flagging
3 flagged
○Team standup
9:30 AM

8 hours of admin. Done in 12 minutes.

How it works

From AI curiosity to AI partnership

A journey, not a funnel. You can start at any stage, and we meet you where you are.

01 Inspire

Deployed Kickstart

A hands-on session where we build a working application on a challenge from your business, live in front of the room, while your team builds alongside us on their own real work.
One half-day session
02 Focus

AI Audit & Discovery

Survey, interviews and a leadership workshop. Every use case is checked against data, process, technology, people and governance before it enters your portfolio.
A few weeks
03 Build

Implementation Support

We build the prioritised use cases with you: applications, agent skills, connectors into the systems you already run, plugins and automated workflows.
From a few weeks per use case
04 Embed

AI Partnership

An ongoing engagement where we act as the AI function you don't have in-house. We keep you ahead of what's changing and stay available as the people your team thinks out loud with.
Rolling, monthly

Everyone uses AI. Nobody controls how.

A control layer between your company and every AI provider. Your skills and context in one place, your own MCP for everyone to connect to, and a governance view over who uses what. Available on its own, or as part of a Partnership.

One source of context. Update a skill centrally and it reaches everyone the same day.

Any model they use. One connection to your MCP, right context in Claude, ChatGPT or Copilot.

Governance at the base. Who uses what, which connections are live, and access that shuts off on the last day.

Dim industrial workspace at dusk
The work we enableRead more

What teams build with us

Person working alone at a long table by a windowOperations

Reports that write themselves

Weekly reports that took four hours now generate in four minutes, formatted and ready to send.

Two colleagues in conversation at a high tableOutbound

Outreach that runs itself

Personalised outreach to 100 prospects every Monday at 9AM, connected to your CRM, email and calendar.

Hands writing in a notebook beside a phoneMeetings

Meetings to action items

Every decision extracted, owners assigned, summary posted to Slack. Your team builds this in 30 minutes.

The end stateAI Partnership

What it looks like when it's working

The AI function you don't have in-house, there when you need it rather than behind a ticket queue or a monthly check-in. We keep you ahead of a field that moves every week, tell you what's worth acting on, ship the use cases that follow, and stay on the other end of the line when your team needs to think something through.

#ai-transformationLive
Emma @ Deployed (AI Lead) — Monday 09:12
Your weekly report automation is live.
Data pulls from your ERP, gets summarized by AI,
and lands in the leadership channel every Monday at 8AM.
Jakob, COO — 09:15
That took you two days? We’ve been talking about this for a year.
Emma @ Deployed (AI Lead) — 09:17
That’s exactly why I’m here.
Next up: your proposal workflow.
I’ve already mapped the flow — want to tackle it after lunch?
✓ Seen by 4 team members
Customer casesAll cases

What changed, in their words

“We came in expecting a workshop about AI. We left with a clear, ranked answer to a problem we’d been carrying for two years.”
Nathalie Bernce, CEO, tm:rw
Who we areAbout us

Operators, not consultants

Most organisations have the ambition. What's missing is a clear first step and someone to take it with them. We started Deployed because we've been through that journey ourselves.

Meet the team and read how Deployed started

Start with what your team is actually asking

Frequently asked questions

An AI-native organization is one where AI is embedded in daily work across every team, not parked in the IT department or a single "AI project." Your people know how to use it, your processes are designed around it, clear rules govern it, and you continuously deploy new capabilities without needing external help. That last part matters: our goal is to make ourselves unnecessary.

A half-day session, typically around three hours, on-site or remote. Before the session, we align on your business context so everything we show and build is built on a challenge from your world, not a generic demo. The real value comes in the weeks after: your team leaves with a shared picture of what's possible, agreed rules of the game, and a concrete next step.

Yes. Everyone gets set up with the tools before the session and gets hands-on during it, working on their own real tasks. The centerpiece is still our live build: a working application on a challenge from your business, from idea to deployed in front of the room. That's what resets what your team believes is possible. For teams that want to go deeper, a dedicated build session follows, where every participant takes something for their actual role from idea to finished, with the momentum the Kickstart created.

No. We've run sessions for everyone from marketing teams to boards and C-suites. Nobody needs to code, and nobody will be turned into an engineer. What changes is what people believe is possible. Most leaders are making decisions based on a version of AI that no longer exists. The Kickstart fixes that.

Most teams move into Focus: an AI Audit & Discovery that turns inspiration into direction. We map use cases across your organization, verify what's actually ready to build, and set your AI playrules. From there, we implement the prioritized projects together, and when you're ready, an AI Partnership keeps the capability current over time. You can start at any stage; the journey meets you where you are.

It's how "AI is exciting" becomes "here's exactly what we'll do." Over a few weeks we gather use cases from employees, managers and leadership, measure your organization's actual AI usage (real behavior, never self-assessment surveys alone) and verify each use case against data, process, technology, people and governance. Your leadership gets a prioritized, sequenced portfolio where every use case has a business case and an honest list of prerequisites. It's also where we set your AI playrules, so your people can move fast without guessing what's allowed.

It's built into the process, not bolted on. Setting the rules of the game (which tools are approved, what data can go where, who decides) is a core deliverable of both the Kickstart and the Audit. We work with enterprise-grade AI tools where your data is not used for model training, and we help you configure them that way. In our experience, clear guardrails don't slow adoption down; they're what lets people move fast with confidence.

We primarily work in the Claude ecosystem from Anthropic: Claude, Claude Code and agent-based workflows. Deployed is a member of the Anthropic Claude Partner Network. That said, we recommend what's right for your situation: the tool landscape moves fast, and part of our job is keeping you current so you don't have to track it yourself.

Yes, and this is where the biggest value usually sits. Modern AI tools connect to systems like Fortnox, HubSpot, Shopify, Microsoft 365 and most platforms with an API, reading your real data, updating your real systems. During the Audit we map exactly which of your systems are ready to connect and what it takes. No rip-and-replace: AI works with the stack you already have.

Someone should, and that's one of the clearest patterns we see. Companies that adopt successfully appoint an internal owner: a person who champions usage, maintains the playrules, and stays current as the tools evolve. It's rarely a full-time role at first, and it doesn't need to sit in IT. Part of our work, especially in an AI Partnership, is developing that person until they can run it without us.

It's a rolling engagement where we act as the AI function you don't have in-house. We keep you ahead of what's changing, tell you what's actually worth acting on, ship new use cases as they come up, and keep your governance current as the technology moves. Practically, that means we're in your Slack and in the room when decisions get made: the people your team thinks out loud with before committing to anything.

We tailor each engagement to your organization's size and needs, and we quote fixed prices, never hourly billing. Get in touch and we'll walk you through it. No commitment.

Yes. We're based in Stockholm, Gothenburg, London and San Francisco, and serve the Nordics and the UK. Sessions work equally well on-site and remote; the process is designed for both.

Let's talk

Let's Kickstart.

Tell us where you are and what you're aiming for. You'll get a first step you can act on, whether or not you hire us.