AI & Automation

We work with businesses who are exploring with AI and either do not know where to start or have tried something without results. The tools are deployed but the foundations are not in place yet, or the use cases are chosen for novelty rather than business impact. We approach the process differently.

Acting as your fractional CAIO, we start by assessing where your business currently stands and what needs to be specified before AI will add value. From there, we identify the specific use cases where agentic AI and automation will clearly increase revenue or reduce costs, then take those from pilot to production inside your own stack so everything stays secure, compliant, and owned by you.

Book an AI readiness call Complete a 5-minute AI readiness assessment
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In-person Ai Readiness Assessment

We assess your data, systems, and processes to identify where AI will add measurable value.

Use Case Scoping

We define the specific AI and automation opportunities worth building, ranked by business impact.

Data Foundation Review

We identify and fix the data gaps that would prevent AI from performing reliably in production.

Agentic Ai Development

We design and build AI agents that handle complex, multi-step tasks inside your existing systems.

Workflow Automation

We automate repetitive, rules-based processes so your team focuses on work that requires judgement.

Pilot to Production Deployment

We take validated use cases from proof of concept to live deployment inside your own stack.

Ongoing Insight and Optimisation

We refine models and reporting as your business evolves and new data sources emerge.

 

What's Included

 

Shared Understanding

  • We run structured sessions with your leadership and operations teams to understand where time, money, and risk are being lost to manual or inconsistent processes.
  • We map your current systems, data quality, and process maturity to establish an honest baseline before recommending any AI investment.
  • We align your leadership team on which use cases to prioritise and what success looks like in business terms, not technical ones.

 

Data and Systems Foundation

  • We assess whether your current data is sufficient to support the AI use cases you want to pursue and identify what needs to change.
  • We fix the data and integration gaps that would cause an AI model to underperform or produce unreliable outputs in a live environment.
  • We document the technical requirements for each use case so your team understands what is being built and why before the build begins.

 

 

Ai and Automation Build

  • We design and build agentic AI solutions that operate across your existing tools and data, handling multi-step tasks without manual intervention.
  • We automate high-volume, rules-based processes where the labour cost or error rate makes automation a clear financial decision.
  • We develop and validate every solution against your real business data before deployment so outputs are reliable, not experimental.
  • We build inside your own infrastructure so the solution is owned by you, not dependent on a third-party platform you do not control.
 

Pilot to Production

  • We run a structured pilot phase with real users and real data before committing to full deployment, so issues surface early and at low cost.
  • We manage the transition from pilot to production with a clear deployment plan, rollback options, and performance benchmarks agreed in advance.
  • We integrate the deployed solution into your existing workflows so adoption is straightforward and the business impact is measurable from day one.

 

 

Check ins

  • We run regular review sessions during the build.
  • We check and validate that the solution is performing against the business case and adjust before deployment.
  • After go-live, we stay engaged to monitor performance, retrain models where needed, and identify the next use cases worth building.

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How the Process Works

1

Discover

We assess your data foundations, systems, and processes to identify where AI and automation will deliver measurable business impact and what needs to be in place first.

2

Design

We define the use cases worth building, design the technical approach, and validate the solution architecture with your team before any development begins.

3

Deliver

We build, run a structured pilot with real data, and deploy to production inside your own stack, then stay engaged to monitor performance and identify the next opportunities.

Frequently Asked Questions

Common questions we are asked.

What does AI & Automation actually cover?

It covers the full journey from assessing where AI will add value in your business, through designing and building the right solutions, to deploying them in production inside your own infrastructure. That includes agentic AI, workflow automation, document processing, and any other use case where the business impact justifies the build. Every engagement starts with an honest assessment of your readiness before any development is recommended.

How long does a typical engagement take?

A focused automation build typically takes six to ten weeks. Agentic AI solutions that involve more complex data inputs or multi-step workflows run ten to sixteen weeks. We scope this clearly after the initial readiness call so you know what you are committing to before work begins.

We have tried AI before and it did not work. Why would this be different?

Most AI projects fail because they start with the technology rather than the business problem, or because the data foundations are not in place to support reliable outputs. We start with an honest assessment of both before recommending anything. If the foundations need work first, we will tell you and scope that separately. We do not deploy AI for its own sake.

Do you advise on the strategy or just build what we ask for?

Both. We act as a fractional CAIO for the engagement, which means the strategic scoping is part of what we deliver. We will challenge use cases that are unlikely to reach production, recommend sequencing that builds on itself, and ensure the business case is clear before any development begins. The goal is AI that works in your business, not a technically impressive pilot that never scales.

Will the solution be owned by us or dependent on your team to maintain? 

Everything we build is deployed inside your own infrastructure and documented so your team can maintain and extend it. We do not build solutions that create ongoing dependency on Xcelerate. Where your team needs upskilling to manage what we deliver, we include that in the handover.

Deploy AI that works in your business.

We will assess your readiness, identify the use cases worth building, and take them to production inside your own stack, typically within eight to fourteen weeks.

BOOK YOUR AI READINESS CALL