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AI integration in the tools you already use

Three or six months to build it, train your team on it and see it used.

Official partners

  • Google Partner
  • Google Exec Circle
  • Meta Business Partner
  • Microsoft Partner
  • TikTok Marketing Partner
  • OpenAI Select Partner

From a pilot to daily use

Most of the work in an engagement happens after the first build.

A pilot

  • Built outside the team, shown once, then left
  • Staff on personal AI accounts with no guidance
  • Licences bought, few people using them
  • Nobody can say what it saves

In daily use

  • Built inside the tools the team opens every day
  • Everyone who uses it trained on it, on their own work
  • Usage watched and the build adjusted while PUSH is still with you
  • A named owner and a usage and value dashboard

How the engagement runs

Three or six months. The build comes first, then the work of getting it used.

  1. 01

    Build

    We build the systems

    We confirm the use cases, agree the data and systems involved and what good looks like, then build each system into your tools with security and access checked.

    Hands overWorking systems inside your tools
  2. 02

    Train

    We train your people on the build

    The people who will use each system learn it on their own real work, so it is in use from the first week.

    Hands overA trained team for every system
  3. 03

    Oversee

    We oversee how the team uses it

    We track who uses what we built and how often, and work with team leads where use drops off.

    Hands overA usage and value dashboard
  4. 04

    Fine-tune

    We fine-tune from real use

    Steps, instructions and checks are adjusted from what usage shows. At the end you extend, move to support or take it over.

    Hands overRun instructions and a handover to your team

What we build

Agents and automations, each tied to a process someone owns.

  • Agent

    AI agents

    Task-focused agents that carry out defined processes end to end, with checks and handovers to your people.

  • Assistant

    Internal knowledge assistants

    Assistants that answer questions from your own documents, policies and systems, so staff stop hunting through folders.

  • Automation

    Workflow automations

    Automations that remove repetitive steps across functions and connect the tools involved in a process.

  • Assistant

    Reporting assistants

    Assistants that pull data together, draft commentary and produce the regular reports your teams spend hours on.

  • Tool

    Sales enablement tools

    Tools that help sales teams prepare, follow up and keep the CRM accurate without extra admin.

  • Workflow

    Marketing production workflows

    Workflows that speed up briefing, drafting and adaptation of content while holding brand and quality steady.

  • Copilot

    Customer service copilots

    Copilots that surface the right answer, draft replies and help agents resolve queries faster and more consistently.

A PUSH AI workshop, with the team working on their own laptops.

What stays with your team

The parts that decide whether it still runs in a year.

01

An AI workspace for your team

A set-up in the tool you chose, with shared instructions and examples, so people start from the same place.

02

Usage and value dashboard

Usage, time saved, quality and commercial effect, so you can see what pays and where to build next.

03

Documentation and handover

Run instructions and onboarding for the team, so the system does not depend on us.

How we handle your data and access

Security and access shape the design from the start. We work within your identity, permissions and data policies, and agree what each system should not see before it is built.

Every system has a named owner on your side and a person who checks its output where it matters.

  • Policy

    A written AI policy your staff can follow

  • Permissions

    Permissions scoped to each role

  • Checkpoints

    Human checkpoints where the output matters

  • Audit trail

    Activity logged, so you keep an audit trail of what each system did

Who runs it

Cim, Jai and Finn.

They build it inside your tools, train your people on it and oversee how it is used.

Cim, Finn and Jai from the PUSH AI teamCim DahirAI Transformation LeadFinnAI Account ExecutiveJai KhanAI Transformation Director
  • Cim DahirAI Transformation Lead
  • FinnAI Account Executive
  • Jai KhanAI Transformation Director

Awards

Award winners from Google and Microsoft six years in a row

  • Innovative Agency of the YearUK Agency Awards 2026
  • Google Mobile InnovationGlobal Award Winners
  • Google Award for Highest Customer SatisfactionEuropean Award Winners
  • Microsoft Advertising Independent Partner of the YearEuropean Award Winners
  • Best Use of AI in SearchUK Search Awards 2025
  • Best Use of AIUK Agency Awards 2025
  • Microsoft Elite PartnerEuropean Award Winners
  • Microsoft Advertising Account Team of the YearEuropean Award Winners
See all awards

Questions about Integration

  • We build on what you already run. Agents, automations and the AI workspace go inside the tools your team opens every day, so nobody has to learn a new place to work.

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Do you build on our existing platforms or bring in new ones?

We build on what you already run. Agents, automations and the AI workspace go inside the tools your team opens every day, so nobody has to learn a new place to work.

Ask us on a call

Book a call about
AI integration.

A short call to talk through what to build and whether three or six months fits.

Book a call

Not sure what to build yet? Start with a Discovery.