AI ADOPTION · MONTHLY PARTNERSHIP

Make AI part of
how your team works.

From choosing agents to connecting systems and coaching your team, we work alongside you to turn new AI capabilities into everyday results.

An AI core connects documents, tools and a database to coordinate company workflows.

Subscribe to a team. Keep moving together.

Our FDE approach brings engineers into your business context. We work with the people doing the job, choose priorities together and review working results throughout the engagement.

ADVISE

Choose the useful next step

Track new tools, assess them against your workflow and help the team adopt what is useful. Revisit choices as technology and business needs change.

BUILD

Build what your workflow needs

When a workflow needs more than configuration, our developers join in to build skills, tools and features, then improve them with feedback.

The right agent for the work.

Selection depends on the task, data boundaries, existing tools and team habits. We evaluate a small working example before expanding adoption.

DEVELOPMENT

Codex · Claude Code

Evaluate coding agents for development and engineering workflows, including cloud execution where appropriate.

KNOWLEDGE WORK

Claude Cowork

Evaluate agent-assisted document and knowledge workflows, with tool access and review steps matched to the team.

CUSTOM WORKFLOWS

BotsUP agents

Use BotsUP agents for custom workflows, connecting cloud or local models according to task and deployment needs.

Decide where data goes before AI goes to work.

Classify inputs before routing them. Review models, tool calls and logs together so the agreed data boundary holds across the workflow.

Separate routes lead to a protected local system and approved cloud services.

LOCAL

Private & confidential data

Route designated sensitive tasks to local models and systems. Configure access and outbound restrictions, then verify the complete flow.

CLOUD

Approved, non-sensitive tasks

Only data approved for cloud use, including reviewed de-identified inputs where suitable, goes to the chosen cloud tools or models.

Connect AI to the way you operate.

Skills

Turn working methods, templates and review criteria into reusable instructions your team can maintain.

Tools & system connections

Build tools to access authorised data and actions through APIs or MCP, with permissions and records.

Features that complete the workflow

Build interfaces, review steps and workflow features where the existing tools need to go further.

Help the team make it their own.

Group workshops

Practice with your team’s tasks to build shared methods for using agents, handling data and checking output.

One-to-one coaching

Work through individual tasks and blockers, refining skills and workflows as people put them to use.

A working cycle, with results to review.

  1. 01

    Choose

    Pick the priority task and agree what improvement would look like.

  2. 02

    Build

    Configure tools or build a version people can try.

  3. 03

    Use

    Work with users to observe quality, time and operating cost.

  4. 04

    Adapt

    Use the findings and new conditions to set the next priority.

Start with one task your team wants to improve.

We agree a monthly scope, team involvement, review cadence and budget. Tool subscriptions, model usage, infrastructure and training are specified in the proposal.