AI that works. People who know how to use it.
AI doesn't replace experienced engineers and delivery leads. It makes them sharper. Every consultant at Enablis is equipped with AI tooling. Every engagement is shaped around your specific problem. Here's what that actually means for you.
Experienced humans,
amplified by AI.
AI on its own isn't the answer. Models hallucinate. Agents go in circles. Without experienced people directing it, AI creates faster messes, not better outcomes.
The difference is judgement. Every Enablis consultant works with AI tooling built into how they operate. Our architects scan codebases in hours rather than weeks, our engineers ship faster and catch more and our delivery leads spot risks early, not late.
We move fast and adapt constantly. No two engagements look the same because no two problems are the same. We work with you to design a solution that fits your context, your constraints and your teams. Then we help upskill your people so they can own it long after we're gone.
What AI actually changes.
How we assess
Our senior architects use AI to scan codebases, map dependencies and surface issues across your entire estate, in hours instead of weeks. AI does the legwork. Our people work out what it means for your business and what to do about it.
How we build
Our engineers use AI co-pilots to move faster on the routine work, so they can spend more time on the decisions that actually matter. Every solution is built around your stack, your team and your constraints.
How we adapt
Our delivery leads use AI to track project health continuously, surface emerging risks and adjust course in real time. We don't follow a fixed plan. We respond to what's actually happening.
How we upskill
We work alongside your teams throughout and transfer knowledge as we go. When we leave, your people know how to use these tools themselves. More capable than before we arrived. That's the goal.
What it looks like under the hood.
The tools we use. Applied with judgement.
We're not tied to any vendor. We'll tell you which tools you actually need and which ones you don't.
Foundation Models
We work across model providers. No vendor lock-in, no dogma. We pick the right model for the job.
RAG & Retrieval
Production RAG that actually works, not the demo version. The one that handles 500k documents and edge cases.
Agent Frameworks
Agents that do real work, with the right guardrails in place. Useful, not just impressive.
MLOps & Infrastructure
The boring stuff that makes AI work in production. Model versioning, rollbacks and observability built in.
Computer Vision & NLP
Turning documents, images and unstructured text into data you can actually use.
Predictive Analytics
Classical ML still delivers strong ROI for many problems. We know when it's the right call and when it isn't.
Better people. Better outcomes.
Deeper assessments, faster
A senior architect with AI tooling can map an entire estate, surface dependencies and identify risks in a fraction of the time. They spend their time interpreting findings and designing the right path forward. Not doing the legwork manually.
Engineers with more headroom
When AI handles test generation, boilerplate and refactoring, engineers can focus on what actually matters. Architecture decisions. Edge cases. The things that break in production. Quality improves because attention goes where it should.
Delivery leads who see around corners
AI-augmented delivery means risks surface earlier. Velocity patterns, blockers and scope changes show up before they become problems. Your delivery lead isn't firefighting, they're steering. And they're adapting the plan continuously, not following a fixed playbook.
Your team gets better, not dependent
We work alongside your people throughout. We transfer knowledge as we go. We share what we know, show how we work and help them adopt the same approaches. When we leave, they're running it themselves. That's what a good engagement looks like.
Keeping pace with AI is hard. The landscape shifts weekly and most teams don't have the bandwidth to stay current while delivering. We cover that ground for you, tracking what matters, filtering out the noise and keeping your roadmap on track. More importantly, we share those learnings and build real AI capabilities within your team so you're not dependent on us forever.
Ed Marshall
Chief Technology Officer, Enablis
We're open about how
we use AI.
We don't hide it. We don't dress it up. AI is a tool, and like any tool, trust comes from being clear about when and how it's used.
Content & Communications
Our experts, leveraging AI helps us draft, edit and structure content. Everything is reviewed and refined by a person before publishing. If AI generated a first draft, we'll tell you.
Code & Delivery
Our engineers use AI co-pilots for code generation, testing and review. All AI-generated code goes through the same review process and quality gates as human-written code. The standard is the standard, regardless of who (or what) wrote it.
Client Data & Privacy
We never send client data to third-party AI models without explicit consent. When we build AI solutions for you, data governance and privacy are architected in from day one, not bolted on afterwards.
Responsible AI
We test our AI systems for bias and adversarial inputs. Human oversight stays in place on anything critical. AI informs our judgement. It doesn't make the call.
Proven capability.
Your problem solved.
Tell us what you're trying to solve and we'll design an approach that fits your team, your stack and your timeline.