Let's have an honest conversation.
No sales pitch. No pressure. Tell us about your challenge and we'll respond within 24 hours with initial thoughts and next steps.
What happens next?
Initial conversation
We discuss your business context, technical landscape, and where you think AI could help. No commitment required.
Assessment proposal
If there's a fit, we propose an AI readiness assessment — scoped, priced, and time-boxed. Typically 1–2 weeks.
Recommendations
You receive a clear report: what's viable, what's not, and a phased roadmap if you decide to proceed.
Common questions
How do engagements typically start?
Most engagements begin with an AI Readiness Assessment — a time-boxed evaluation of your data, infrastructure, and use cases. This gives both sides clarity before committing to a larger engagement.
What industries do you work with?
We specialise in retail, wholesale & distribution, healthcare, and financial services. These are the industries where we have the deepest domain expertise and the most production AI systems deployed.
Do you only do AI work?
AI is our focus, but our engagements often include enterprise platform development, system modernisation, and architecture design. We build complete systems — AI is the thread that runs through them.
What’s your team structure?
We’re a senior-only team led by our founder-architect, Vikram Saxena. He’s on every engagement — designing the architecture, reviewing code, and making technical decisions. We scale with trusted senior engineers as needed.
Where are you based?
We’re based in the United Kingdom with clients across 20+ countries. We work across UK and European time zones and have delivered systems globally.
How much does an AI implementation project cost?
It depends on scope and complexity. An AI Readiness Assessment typically takes 1–2 weeks. Full implementations range from focused MVPs (weeks) to enterprise-wide platforms (months). We scope and price every phase transparently — no hidden costs, no surprise invoices.
How long does an AI project take?
An AI Readiness Assessment takes 1–2 weeks. Architecture design takes 1–3 weeks. Build phases run in 2-week sprints. A focused AI MVP can be in production within 6–8 weeks. Larger platform builds typically run 3–6 months.
Can you integrate AI with our existing systems?
Yes. Most of our engagements involve embedding AI into existing platforms, workflows, and data pipelines. We restructure systems so AI can work alongside your current tech stack — ERP, CRM, commerce platforms, and custom applications.
What’s the difference between Blue Thread and a Big 4 consultancy?
Big 4 firms typically deliver strategy decks and hand them off to implementation teams. We design the strategy and build the system — the same senior team, end to end. No account managers, no junior developers, no handoff gap.
What’s the difference between Blue Thread and a dev shop?
Dev shops take tickets and write code. We start upstream — understanding your business problem, evaluating whether AI is the right solution, designing the architecture, and then building it. We’re accountable for business outcomes, not just deliverables.
Do you work with startups?
Yes, if the use case is right. We’ve built AI-powered MVPs for early-stage companies and enterprise platforms for global organisations. The common thread is production-quality engineering from day one.
What AI technologies do you work with?
We work across the full AI stack: large language models (GPT, Claude, Gemini), computer vision, NLP, predictive analytics, and document intelligence. Our AI Gateway abstracts provider dependencies so you’re never locked into a single vendor.