Enable faster, more efficient and more predictable software delivery. Our dedicated solution begins with an Engineering Baseline Assessment, before combining AI Agents, meaningful metrics and dynamic dashboards to provide you with greater visibility and data analysis.
Are these challenges impacting your speed and quality?
If your organisation’s software delivery is already complex, and potentially spanning multi-team, hybrid environments, you may recognise these pain points:
- Slower throughput
- Expanding queues
- Inconsistent progress
- High rework rates
- Manual-intensive testing and deployment processes
- Traditional governance that fails to drive efficiency.
The root cause of these issues is often lack of visibility and data across your delivery pipeline.
We’ve designed the Development AI Accelerator to equip your Engineering Managers with the metrics they need to tackle these challenges head on.
What is the Development AI Accelerator solution?
We begin with a Baseline Engineering Assessment.
We manually baseline 10 performance metrics across the software delivery lifecycle, creating a precise, evidence-based view of how development actually happens, daily in your organisation.
We’ll then deliver:
- Custom-built AI Agents to collect 30+ metrics from your engineering tool stack and present in dynamic graphs and dashboards.
- Powerful AI analysis to identify constraints, process inefficiencies, and capability gaps
- A digital twin of your software engineering processes with AI-driven improvement recommendations.
Ultimately, your Engineering Managers gain a precise, evidence-based view of how development actually happens, daily, in your organisation.
Improve predictability
"AC exceeded my hopes of what I expected... They were very professional and knowledgeable… and were able to make recommendations that have made clear improvements to our working practices. I look forward to working with them in the future!"
IT Support Engineer, Leading Automotive Marketplace
What you’ll get…
Improved delivery pipeline transparency
Ability to justify tech debt activities
A single view of the engineering improvement roadmap
Fewer surprises
Data-backed investment asks for process and tooling improvements
How the Development AI Accelerator solution works
Broadly speaking, we deliver the Development AI Accelerator in three stages.
We baseline your current engineering flow, quality, tooling and ways of working.
We develop initial insights to create a roadmap that increases productivity, illustrating how the Development AI accelerator can improve predictability, speed, and delivery quality.
We embed your Digital Twin, AI agents, workflow improvements, automation opportunities and team enablement.
Discover the full scope of the solution
Download the guide to see exactly how we uncover what's slowing your delivery down from baseline metrics and lifecycle analysis to the targeted AI opportunities, deliverables and outcomes that get your team shipping faster.
How does the Development AI Accelerator work with your tech stack?
Our Development AI Accelerator solution is platform-agnostic, designed to complement your current practices and tooling ecosystem. We can integrate with Atlassian, Miro, Azure DevOps, GitHub, Jenkins, GitLab, AWS, GCP, and more.
Why Automation Consultants?
We’ve spent over 20 years working with development teams and technology leaders during periods of change and complexity to deliver successful, long-term outcomes.
Often organisations come to us because they’re seeking a different approach to a typical consultancy. We take a careful and pragmatic approach to AI, applying it only where it can actively improve results, and whilst maintaining appropriate compliance and security requirements.
Our work is underpinned by strong compliance practices, including ISO 27001 and Cyber Essentials Plus, giving organisations confidence when introducing change.
Our accreditations
Join 600+ global satisfied AC customers who trust our solutions and services.
FAQs
The Development AI Accelerator is a solution that looks at how development actually happens, then uses metrics, tooling insight, and targeted AI to reduce friction and improve delivery.
Most standard assessments consider process maturity our assessment considers the engineering flow. Using Flow Metrics to identify opportunities for improvement.
Most standard assessments focus on process maturity. This assessment looks at engineering flow, using delivery metrics to identify where improvements will have the biggest impact.
Security is built into the approach. Work is underpinned by strong compliance practices, including ISO 27001 and Cyber Essentials Plus, with appropriate controls around data use.
Depending upon the business problem we are asked to solve. We would probably start making improvements on a few exemplar activities so we can illustrate the benefits of our recommendations and to minimise the disruption to teams delivery activities.
We will create an improvement dashboard showing the baseline delivery metrics prior to using the accelerator. Then benchmark the same metrics every month to identify the improvement targets and illustrate the progress made.
Recommendations for changes to tools and engineering processes will be made in the Improvement Roadmap
Yes, we anticipate that we will record greater improvements with Agile activities but both types of project should show improvements.
The best way to get started is with software engineering baseline assessment. This assessment provides a clear view of how development is working today, where friction exists, and where improvements are likely to have the greatest impact. To discuss more, you can book a free 30-minute consultation with our team here.
Typical metrics created by the digital twin include:
Feature and story leadtime: Measure speed of value creation
Defect density and escaped defects: Understand product quality
Backlog aging and quality: Improve delivery performance.
Defects caused by SDLC stage: Where do development processes need to be tightened?
The AI Engineering analysis element includes the following observations:
Flow Health: Understand where blockages or constraints exist in the engineering process.
Forecast cost of delay: Identify potential benefits from engineering improvement activities.
Alignment of engineering time spent and business priorities: Is engineering working on the right things?
Ready to accelerate software delivery?
If you want to reduce delivery friction, improve predictability, and make better use of your team’s time, the Development AI Accelerator can help. Get in touch with our team. We’re happy to answer questions or talk through whether this is a good fit.