AI & Agentic Systems
Voice agents, document intelligence, and multi-agent orchestration , in production today, not on a roadmap.
What we build
Production work for clients sits alongside the systems we've built internally to prove out the patterns before we ship them.
Case study
Built a multi-tenant AI voice receptionist for Nest, a hospital running NHS GP surgery lines , answering surgery-specific administrative queries while enforcing strict clinical safety constraints. A deterministic three-layer emergency detector escalates urgent calls, and a verification agent checks every response's faithfulness against retrieved context before it reaches a patient.
Internal capability build
Built internally to prove out high-precision document retrieval at scale: a FastAPI and Streamlit system processing 1,000+ pages into 2,500+ semantic chunks at 95% retrieval relevance, alongside an agentic retrieval pipeline reaching 92% precision and cutting irrelevant document retrieval by 45% through embedding optimization and query refinement.
Internal capability build
Built internally: a modular multi-agent AI platform using LangChain, LangGraph, FastMCP, and custom MCP servers spanning Discord, Telegram, finance, web, and RAG tooling , supporting JSON-configurable agent creation and real-time multi-agent orchestration, improving onboarding efficiency by 40%, with RAG retrieval over 2,500+ context chunks at 90% answer relevance.
Case study
Inside consult7c's live pay-per-lead business, a fully agentic system Tecziq built sources and qualifies B2B leads end to end, with no human in the loop.
Breadth & fluency
Beyond the systems we've built end to end, Tecziq's AI team works fluently across the broader RAG and agentic ecosystem , models, voice infrastructure, agent frameworks, and the integrations that connect them to where your team already works.
AI Models & Platforms
Voice & Speech
Retrieval & Vector Infrastructure
Agent Tooling & Observability
Integrations & MCP Servers
Frameworks & Delivery
Where this could go in your industry
Beyond the systems already built, here's where this technology applies , some of it building directly on proven work above, some of it where Tecziq sees real opportunity next.
Building on the safety-layer work behind Nest's AI receptionist: appointment and triage automation, multi-tenant administrative agents for clinics and surgeries, automated patient intake with built-in clinical safety constraints.
Building on the agentic system running inside consult7c: autonomous lead sourcing and qualification, AI-driven outbound sequencing, agentic sales pipelines that work a deal without a human triggering every step.
Resume screening and candidate matching, automated interview scheduling, an agentic recruiting assistant that shortlists and follows up on its own.
Building on the retrieval precision work behind Tecziq's internal RAG systems: contract and policy Q&A, automated compliance document review, claims processing assistants.
Quick-turnaround agentic MVPs , proving out an AI product concept fast, using the same multi-agent orchestration patterns behind Tecziq's internal tooling platform.
Internal knowledge-base assistants, multi-platform automation connecting Slack, email, and internal tools , the same integration breadth listed in the platforms section above.
FAQ
Everything you'd want to know before bringing Tecziq's AI team alongside yours , agentic patterns, safety, team setup, and pricing.
Want to see it run?
A 30-minute call to walk through your use case and what a Tecziq-built agentic system would look like for you.
Agentic systems take action and make decisions autonomously within defined boundaries , like sourcing and qualifying leads end to end, or escalating a medical emergency through a deterministic safety layer. That's a different category from a chatbot that just answers questions.
Depends on the system, but the patterns we build around include verification agents that check responses against retrieved source material before they reach a user, deterministic safety layers for high-stakes scenarios, and retrieval pipelines tuned for precision over recall where accuracy matters more than completeness.
The team works on overlap hours that match your business day , daily standups via Slack, Google Meet, or your preferred tool. The team joins your standups and is available during your working hours.
Whatever your team already uses , Jira, Linear, Asana, ClickUp, Trello, Monday, GitHub Projects. The team plugs into your existing process rather than asking you to adopt ours.
We shortlist candidates from our hiring pool based on the role, skill set, and seniority you need. You interview and approve every person who joins the team , no one is assigned without your sign-off.
Direct access to the engineers building your system, plus regular reporting on sprint progress, hours, and milestones. No account manager relaying messages secondhand.
Code review, automated testing, and QA are built into the engagement from day one. AI work adds evaluation harnesses, regression suites on retrieval and reasoning quality, and verification layers on outputs that reach users.
We sign an NDA and agree on scope upfront. Standard terms are a 3-month minimum engagement, with milestones defined alongside.
Pricing depends on scope, team size, and whether the engagement is fixed-scope or a dedicated team. We'll work through specifics together once we understand what you need.
Insights
Recent articles on AI and agentic systems.
Next steps
Two ways to start , a free conversation with our engineering team, or a quick cost estimate before you commit to anything.
Tell us where you want AI to help. We'll tell you what's realistic, what it'll take, and whether we're the right team for it.
A short diagnostic to see where agentic AI could have the biggest impact on your business , and what to build first.