PRESHaiPRESHai
A business leader stands at a floor-to-ceiling window looking up and out over the city at night, as a stream of cyan pixels flows across the skyline.

How we close the gap.

Most companies have AI. Few have it doing real work. We build AI into the systems you already run, give agents a platform to work on under your rules, and keep it running, measured and improving.

Talk about your AI projectWhy AI stalls

What we do.

We build AI into the systems you already run, give agents a platform to work on, and keep it all running and improving.

  • A stream of cyan pixels climbs a sweeping staircase through a glass atrium at night, past people on the upper floors.

    AI Implementation

    We build AI into the systems you already run.

    • Map the work and agree the first workflow, its owner and its measure.
    • Connect agents to your CRM, PSA, ITSM, email and files.
    • Build the workflows and approvals in your tools, then train your team to own them.
  • Two colleagues walk and talk along a glass skybridge above the city as a stream of cyan pixels flows beside them.

    Platform

    We give agents a place to work, under your rules.

    • PRESHos agents take on real work and hand back results for review.
    • Connectors sync records with the systems you already run.
    • Roles, approvals and a record of every run, with its cost.
  • Three colleagues on a rooftop terrace look out over the city at dusk, one pointing ahead, as a stream of cyan pixels arcs across the skyline.

    Managed AI

    We keep your AI running, measured and improving.

    • Set up ChatGPT, Claude or PRESHos, with sign-on and security.
    • Build a new workflow into how you work, every month.
    • Report on usage and results, brief you on what is new, and train your people.

From the first conversationto a capability you own.

  1. Two people map a workflow on a glass wall as a stream of cyan pixels enters from the left.

    Map

    Show us the work. Agree one workflow, one owner, one measure.

    You get a sequenced roadmap.

  2. An engineer points out a connection in an open network cabinet to a colleague as the pixel stream passes through.

    Connect

    Link agents to the systems and data that run the business.

    You get integrations that survive the pilot.

  3. An engineer presents a working build on a wall display to two colleagues as the pixel stream passes through.

    Deploy

    Build it in your tools. Your team tries it on real work.

    You get production-grade workflows.

  4. Two colleagues review results in front of a wall of charts as the pixel stream passes through.

    Operate

    Watch, report and keep improving as the business changes.

    You get a capability your team relies on.

  5. Two people shake hands in front of the city skyline as the pixel stream exits to the right.

    Transfer

    Train your team and hand over what you want to own.

    You get a team that can extend it.

How we work

Who does whatin each phase.

For each phase: what we do, what your team does, the decision that stays with you, and what you receive.

See responsibilities

Relatedreading.

More on AI Implementation
The Tampa Riverwalk at night, with downtown towers on the right and a stream of cyan pixels following the railing.

Show us the work.

We start with one workflow, one owner and one measure. Tell us where AI is stalling and we will talk through what is practical to build.

Talk about your AI projectExplore PRESHos