We build enterprise AI agents, intelligent automation and AI-powered systems that replace manual processes, augment your workforce and create compounding operational advantage — engineered to the same exacting standards as our defence and enterprise software.
There is a significant difference between putting a chatbot on your website and engineering AI that fundamentally changes how your organisation operates. We do the latter.
Multi-step agents that perceive, reason, act and learn — operating independently within defined boundaries. They don't just answer questions; they complete workflows, make decisions and escalate when appropriate.
End-to-end replacement of manual, repetitive knowledge work. Document processing, data extraction, report generation, compliance checking — running 24/7 at a fraction of the human cost.
Intelligent layers embedded directly into your CRM and ERP — predicting churn, surfacing opportunities, auto-updating records, generating proposals and keeping your pipeline data clean without human effort.
AI capabilities engineered for classified and sensitive environments — on-premise deployment, air-gapped operation, adversarial robustness and full auditability. No data leaves your perimeter.
Predictive models, anomaly detection and AI-driven BI that tells you what is going to happen — not just what already has. Integrated into your existing dashboards and reporting infrastructure.
Connecting AI capabilities into your existing stack. We engineer the APIs, data pipelines, security layers and human-in-the-loop review systems that make AI trustworthy in production environments.
Most "AI agencies" are prompt engineers with a Zapier account. bitConcat is a software engineering firm that has spent 25 years building complex, reliable systems for demanding environments. We apply that same rigour to AI.
We start with your data and processes — not with a model. The right architecture depends entirely on what you need to achieve, what data you have, and what constraints you operate under.
We build for production, not demos. An AI agent that works in a controlled demonstration is not the same as one that works reliably in your live environment, with real data, edge cases, adversarial inputs and integration complexity.
We engineer human oversight from day one. Every system we build has defined escalation paths, audit trails, confidence thresholds and review mechanisms — because enterprise AI without governance is a liability.
The same engineering discipline applied to different operational realities. Here is what AI looks like when it is built properly for each sector we serve.
AI for defence is not a chatbot. It is decision-support, intelligence analysis, logistics optimisation and threat detection — operating in air-gapped environments, on classified data, with full auditability and adversarial robustness.
We understand the constraints of defence AI: data sovereignty, security classification, procurement frameworks and the life-critical nature of some decisions. Every system we build for this sector operates entirely within your perimeter.
Large organisations have enormous volumes of repetitive, high-skill knowledge work that consumes expensive human time. AI agents can absorb the bulk of this work — freeing your people for the judgement-intensive tasks only humans can do.
Your CRM knows everything about your customers. Your ERP knows everything about your operations. AI turns that data into action — automatically, continuously, without your team needing to remember to look.
Financial AI operates under FCA scrutiny, requires explainability, and must handle adversarial inputs. We build financial AI that is accurate, auditable and defensible — not just impressive in a demo.
You don't need an enterprise budget to benefit from AI agents. A well-built agent can genuinely replace the work of 1–3 members of staff in specific functions — at a fraction of the cost of hiring.
The AI market is full of tools that impress in demos and disappoint in deployment. Here is how genuine AI engineering differs from the alternatives.
bitConcat has spent 25 years engineering systems that work in the real world under real conditions. We apply that same discipline — scepticism, rigour, production-first thinking — to every AI engagement.
A structured, low-risk path from initial conversation to a working AI agent in your production environment.
We map your processes, identify the highest-value automation opportunities and define success metrics. We challenge assumptions — some "obvious" AI use cases have poor ROI; others you haven't considered are transformative.
▶ Deliverable: Prioritised AI opportunity assessmentWe assess your data quality, identify gaps, and design the AI architecture — model selection, retrieval strategy, integration points and governance framework. Security and compliance requirements defined here.
▶ Deliverable: Technical architecture documentWorking prototype against your actual data. We test against edge cases, adversarial inputs and failure modes. You evaluate against real tasks — not curated demos. Honest performance metrics, not marketing numbers.
▶ Deliverable: Evaluated prototype with performance reportFull production build — integration, security hardening, monitoring, alerting, human oversight workflows and rollback mechanisms. This is where AI engineering diverges from AI prototyping.
▶ Deliverable: Production-ready AI systemAI systems degrade without maintenance — models drift, data changes, edge cases emerge. We monitor performance continuously, retrain where needed, and identify the next automation opportunity within your operation.
▶ Deliverable: Managed AI service with SLABased on outcomes from real bitConcat AI engagements across enterprise and SME clients.
We are not ideologically neutral on AI. We believe autonomous systems operating in enterprise and defence environments carry real responsibility — and we engineer accordingly.
Every agent we build has defined escalation triggers, confidence thresholds and human review checkpoints. Automation should augment human judgement — not bypass it on decisions that matter.
Every action an AI agent takes is logged with context, reasoning and outcome. You can always understand why a decision was made — essential for regulated industries and defence environments.
Your data trains your agents, not someone else's model. We design systems that keep your proprietary information within your control — including fully on-premise deployment where required.
We test AI systems against prompt injection, data poisoning and adversarial inputs — particularly critical in defence and financial environments where bad actors will probe your AI.
What happens when the AI gets it wrong? We engineer fallback paths, human escalation routes and rollback mechanisms so your operation continues safely when a model misbehaves.
We will tell you when AI is not the right answer. Sometimes a simpler rule-based system, a process change, or a hire is better than an LLM. Honest advice over interesting engineering problems.
The organisations that move in the next 12 months will compound operational advantage that will be very hard to close. Let's find your highest-value AI opportunity first.