AI DEPLOYMENT

Map. Connect. Automate. Adopt.

AI that actually ships, in your tools, with your team. Vendor-neutral, engineered end to end.

See how we deploy ›

Vendor-neutral. We deploy ChatGPT Enterprise, Claude, Microsoft Copilot, Gemini, open-source models and automation platforms, alongside your CRM, data and internal tools.

How a deployment unfolds: map, connect, automate, adopt

Map.

The nodes that matter brighten; scattered pilots and licences fade.

Every company has AI licences. Very few have AI in production. We close the gap.

What does AI deployment mean?

AI deployment is the work of turning AI from a promising pilot into something your teams use every day. It covers choosing use cases that pay back, selecting the right tools, connecting them securely to your data and systems, building agents and automations, training people, and putting governance in place. Engineers do this work, not slide decks.

THE PROBLEM

Why AI stalls after the pilot.

  • 01

    Pilots never reach production.

    A demo works on clean examples, then breaks on real data, real systems and real edge cases.

  • 02

    The data isn't ready.

    Information sits in scattered tools, documents and inboxes that AI can't reach safely.

  • 03

    Every team bought a different tool.

    Licences pile up, nothing connects, and nobody knows what is actually used.

  • 04

    People don't adopt it, and risk is unclear.

    Without training, guardrails and a clear policy, teams either avoid AI or use it in ways nobody has approved.

The model is rarely the problem. Integration, data, adoption and governance are.

HOW WE DEPLOY

Four workstreams, one rollout.

  1. 01

    MapStrategy and use cases.

    Find where AI pays back first.

    • Process mapping with the teams involved
    • Use cases scored on value, feasibility and risk
    • A 90-day roadmap with owners and metrics
  2. 02

    ConnectTools and architecture.

    Choose and connect the right stack, vendor-neutral.

    • Tool selection: build, buy or partner
    • Secure connection to your data, documents and systems
    • Security and privacy review of every tool
  3. 03

    AutomateAgents and automations.

    Build AI that does real work.

    • AI agents and workflows for multi-step tasks
    • Human approval wherever it matters
    • Monitoring, logging and quality checks
  4. 04

    AdoptAdoption and governance.

    Make it stick, and make it safe.

    • Training and playbooks for each team
    • An AI usage policy your people understand
    • Usage tracking, and support for GDPR and EU AI Act obligations

CONNECT ONCE

Connect your tools once. Use them from any AI.

We connect your systems through secure connectors, using open standards such as the Model Context Protocol where supported, so your teams get the same data access whichever assistant they prefer.

  • HubSpot
  • Salesforce
  • Pipedrive
  • Google Workspace
  • Microsoft 365
  • Slack
  • Notion
  • Zendesk
  • Intercom
  • SharePoint
  • Snowflake
  • BigQuery

Your AI layer · secure connectors · permissions · logs

USE IT FROM

  • ChatGPT Enterprise
  • Claude
  • Microsoft Copilot
  • Your own agents +

USE CASES

Where AI pays back.

  • Our specialty

    Sales and GTM

    Account research, buying signals, personalised outreach, reply handling and CRM upkeep.

    Meet the GTM agents ›
  • Marketing

    Content production, campaign operations, and visibility in Google and AI assistants.

  • Customer service and success

    Ticket triage, drafted answers from your knowledge base, and early renewal-risk alerts.

  • Operations and finance

    Document processing, reporting, and procurement workflows.

  • Internal knowledge

    An assistant that answers employees' questions from your own documents and policies.

OUR SPECIALTY

Six agents for revenue teams.

01 / 06

Research Agent

Human checkpoint: Rep reviews

Research.

A complete account brief before every first touch.

  • Company, buyers and context in one page
  • Built from websites, news, job posts and your CRM
  • Saved to the account record
Illustrative workflow

ACCOUNT BRIEF

Ferro Logistics — expanding to Spain · 3 open sales roles · uses HubSpot

Brief saved to CRM

For GTM work we add our own products: Sogli for signals and attribution, InboxVero for deliverability, and Confhunt for event intelligence. See our GTM engineering ›

GUARDRAILS

AI does the work. People make the calls.

  • Approval gates: you decide what needs a human before it goes out or changes a record.

  • Grounded answers: AI works from your approved content and data, not from guesswork.

  • Full activity log: every action an agent takes is recorded and reviewable.

  • Data stays yours: tools run inside your accounts, on business plans that don't train on your data.

  • Privacy by design: personal data is used only for the agreed purpose.

  • Off switch: any agent or automation can be paused in one click.

HOW TO START

From first conversation to AI in production.

  • Start here

    AI Readiness Assessment

    2 weeks · from €3,500

    Use-case map, tool and data review, risk check, and a 90-day roadmap with the 3 use cases to deploy first.

  • AI Deployment Sprint

    6–8 weeks · from €9,500

    Two or three use cases in production, connected to your systems, with guardrails, training and documentation.

  • Managed AI

    monthly · from €3,500/month

    We run, monitor and improve your agents and automations, and add new use cases each quarter.

Starting with sales? The free GTM Audit is the quickest way in. Get my free GTM Audit ›

ENABLEMENT

We train your people, not just the tools.

  • 01

    Hands-on workshops

    Role-based sessions using your own work, data and tools.

  • 02

    Prompt and playbook library

    The prompts, templates and workflows each team uses, documented in your wiki.

  • 03

    30 days of office hours

    Weekly sessions to answer questions and improve what's deployed.

RESULTS

Measured in time, adoption and outcomes.

  • Hours saved

    Time moved from repetitive work to higher-value work, tracked weekly.

  • Adoption

    Share of the team using the deployed tools every week.

  • Cycle time

    How much faster key tasks get done, from ticket resolution to proposal turnaround.

  • Business outcome

    The metric each use case exists to move: pipeline, resolution rate, cost per task.

FAQ

Questions about deploying AI.

No. We're vendor-neutral and recommend whatever fits the problem. We only bring in Sogli, InboxVero or Confhunt for sales and GTM work where they're the best option.

Built by engineers.Adopted by your people.

In a 30-minute call we'll look at where you are, what's blocking you, and the use cases that would pay back first.

Or start with a free GTM Audit ›