AI Strategy & Fractional CTO
Use-case selection, roadmap and ROI model, then senior AI leadership on a retainer while you hire. See Fractional AI CTO.
AI strategy
AI consulting & implementation · since 2006
AI that ships. Securely, measurably, in production.
AI strategy and fractional AI CTO, LLM apps and agents, AI knowledge bases and vector search, AI security, Salesforce, event technology and AI SEO. Senior people, small teams, fixed scopes where possible.
- Founded 2006
- 1500+ apps delivered
- 450+ clients
- 5 offices
Clients include
VodafoneATN MarketingEventifyStopoverHelloMindSmartTripsBloombay
What we do
Eight ways we put AI to work
Every engagement starts with a decision about what is worth building. Then we build it, secure it and keep it running. Pick the pillar closest to your problem.
AI Engineering
LLM applications, agents and automation, and MCP servers that connect models to your systems safely.
LLM app developmentAI Knowledge & Search
Retrieval-augmented knowledge bases that answer from your documents, plus vector and hybrid search on pgvector, Milvus or a managed store.
AI knowledge baseAI Security & Governance
LLM security audits, prompt-injection defence, red teaming and governance that maps to the EU AI Act and ISO 42001.
AI securitySalesforce
Implementation, Apex and LWC, integrations and managed services, with Agentforce and Einstein where AI inside the CRM pays off.
Salesforce servicesEvent Technology
Event apps, registration and ticketing, check-in and badge printing, lead retrieval and AI matchmaking, built on our own Eventify platform.
Event technologyAI SEO & Marketing
Technical SEO, structured data and generative engine optimisation so people and AI assistants find you, plus marketing automation that converts.
AI SEO & marketingCustom Software Development
Still here, 1500+ apps in. Native iOS and Android, web, APIs and IoT, now with AI designed in from the first sprint.
Custom software
How an AI engagement runs
Five steps from idea to something you can measure
The same shape whether it is a two-week assessment or a year-long build. Each step has a written output you keep, whatever you decide next.
Assess
Systems, data, risks and candidate use cases, ranked by value and feasibility. Output: a roadmap you can act on.
Prove
A thin, working slice on real data with an evaluation set, so the go or no-go rests on numbers rather than a demo.
Build
Production engineering: retrieval, agents, integrations, UI, with evals wired into the pipeline from the first sprint.
Secure
Threat model, prompt-injection defence, red teaming and the governance paperwork your auditors will ask for.
Operate
Monitoring, cost control, model updates and a named engineer who knows the system. Hand-over or managed, your call.
Read how we work in more detail in How we work and Engagement models.
Featured solutions
Where AI is paying off right now
Packaged starting points we have built before. Each one comes with a reference architecture, an evaluation plan and a realistic timeline.
Support
Customer Support AI
Deflect routine tickets, assist agents on the hard ones and escalate cleanly, grounded in your help centre and policies.
Explore OperationsDocument Processing
Extract, classify and validate invoices, forms and contracts at scale, with humans reviewing only the uncertain cases.
Explore SalesSales Copilot
Meeting prep, call notes and next steps written into the CRM, so reps sell and the pipeline stays honest.
Explore KnowledgeSupport Copilot on your knowledge base
Retrieval-augmented answers with citations for your support team, built on the documentation you already maintain.
Explore EventsAI Matchmaking for Events
Attendee-to-attendee and attendee-to-exhibitor recommendations that make networking the reason people come back.
Explore SalesforceAgentforce & Einstein
AI inside the CRM you already run: agents for service and sales, grounded in Salesforce data with the right guardrails.
Explore
Why Teksmobile for AI
Built to get past the pilot
Most AI projects do not fail loudly. They stall after a promising demo because nobody set up the evals, the security review or the owner. We put those on the critical path from day one.
Senior engineers, small teams
The people on the call are the people who build. No hand-off to a junior bench after the sales cycle.
Security-first
Threat modelling, prompt-injection defence and red teaming are part of the build, not a separate audit at the end.
Measurable evals
Every system ships with an evaluation set and a dashboard, so you know when quality moves and why.
Your data stays yours
Vendor-agnostic across Claude, GPT, Gemini and open-weight models. Self-hosted or private deployments when the data demands it.
Twenty years of shipping
Founded 2006, 1500+ apps and 450+ clients. We know what production means: releases, support, upgrades, the unglamorous parts.
Industries
Free tools
Sector knowledge where it changes the answer
Regulation, data sensitivity and the shape of the work differ by sector. These pages show what we would build first, and what we would refuse to automate.
Healthcare
Fintech
Retail & e-commerce
Events & exhibitions
Education
Real estate
Logistics
Legal
HR tech
Manufacturing
Media
Travel & hospitality
Public sector
All industries
Free tools
Do the first hour of homework yourself
Four interactive tools that run in your browser, send nothing to us and show their working.
Free
AI Readiness Assessment
Ten minutes, a score out of 100 and the three things to fix first.
Start FreeLLM Cost Calculator
Estimate monthly spend by model, token volume and caching strategy.
Calculate FreeRAG Cost Estimator
Size a knowledge base: embeddings, storage, retrieval and generation costs.
Estimate FreeAI Security Checklist
A 30-point self-audit for any LLM application before it goes live.
Run the checklist
Insights
Practical guides, written by the people who build
Guide
RAG Explained
How retrieval-augmented generation answers from your data, where it breaks, and how to evaluate it.
Read PlaybookThe AI CTO Playbook
The first 90 days: what to assess, what to stop, what to prove and how to report it to the board.
Read ChecklistLLM Security Checklist
The controls every LLM application needs before launch, mapped to the OWASP LLM Top 10.
ReadTell us what you are trying to do with AI
A short call with a senior engineer, not a sales queue. You leave with a straight answer: what is worth building, what it would take and what we would do first.