Technology
Our platform pairs a Hybrid Graph + Vector retrieval engine with continuous Knowledge Base Quality Assurance to deliver reliable AI agents, complete with handover to your team and analytics dashboards for control.
How it works
Connect your knowledge & channels
Sync your KB, product data, and historical tickets; add Shopify/Zendesk/Intercom as needed.
Validate retrieval accuracy
We run retrieval checks and enable KB Watchdog to catch contradictions early.
Configure guardrails & workflows
Define what the agent may answer, when to escalate, and how to summarise and dispatch.
Launch with safe handover
Start in assist mode or full chat, with humans in the loop from day one.
Measure & improve
Use analytics to refine content and workflows to improve deflection and customer experience over time.
The four pillars of our stack
Knowledge Base Quality Assurance (KB Watchdog)
Keep answers trustworthy as your knowledge base evolves. The KB Watchdog continuously checks new and edited content for contradictions, drift, broken references and stale facts, so your teams can review and approve changes before they affect customers. This safeguards answer quality over time.
Explore KB Quality Assurance →Retrieval Accuracy
We combine graph relationships, which capture information dependencies, with vector semantics, which capture meaning. This retrieves the right passage with context. It lowers hallucination risk and improves ticket deflection and customer satisfaction, especially with large or complex knowledge bases.
Explore Retrieval Accuracy →Integrations (Shopify, Zendesk, Intercom...)
Plug in where work already happens. Pre-built connectors ingest product data, tickets, conversations and orders, and push actions back (e.g., AI-generated tickets with summaries & proposed solutions, order lookups, content suggestions). Minimal change management, maximum impact.
Explore Integrations →Security & Compliance
Security is built-in: data isolation per tenant, encryption in transit and at rest, role-based access, audit trails, and content governance. We design with enterprise controls in mind and support privacy-first deployments for UK/DACH requirements.
Explore Security & Compliance →Handover & human-in-the-loop
When confidence is low or policy requires a human, the agent hands over seamlessly: it creates a ticket to the right team, attaches an AI summary, and proposes a draft solution sourced from your knowledge base. Agents start from context, shortening time-to-resolution and ensuring accountability.
Analytics dashboards
See what customers ask, what content powers answers, and where your KB needs attention. Dashboards highlight self-serve coverage, handover reasons, topic trends, and content health alerts from the KB Watchdog. Use these insights to prioritise fixes that move the needle fastest.
Built for your use case
B2B SaaS: Ticket deflection engine
Deflect repetitive "how do I...?" queries with accurate, cited answers from product docs and release notes, while escalations arrive pre-summarised for support.
Shopify & Shopify Plus: Revenue & Support Copilot
Guide shoppers with product-aware answers that reduce wrong-fit purchases and returns. The AI agent understands catalogue, policies and orders, and hands over cleanly to your team when needed.
Industrial (UK/DACH): Component Finder
Resolve spec-to-part confusion across complex catalogues, datasheets and compatibility rules. The hybrid retrieval engine maps requirements to the right component with traceable citations.
Compare approaches
See how AI Tech stacks up against common alternatives.
AI Tech vs common alternatives
Most chatbots rely on keyword search or vector databases with similarity search. These perform poorly on complex knowledge bases or large product catalogues. AI Tech combines graph, vector, and metadata retrieval with a KB Watchdog and built-in handover. You get accuracy, control, and operational fit.
Implementation & pricing
We scope your sources and systems, connect data, align guardrails, and launch with dashboards that show what to improve next. Pricing is transparent and aligned to usage and modules.
FAQs
Standard RAG uses vectors only. We add a Graph layer to model relationships (versions, dependencies, eligibility rules) so retrieval is both semantic and structured, improving precision and traceability.
No. The KB Watchdog surfaces contradictions, broken links and stale content as you go. You improve quality iteratively while the agent protects users with citations and confidence aware handover.
By combining hybrid retrieval, source-anchored responses, confidence thresholds and mandatory handover on edge cases. Analytics then show where to fix root causes.
Shopify/Shopify Plus, Zendesk, Intercom and common file/content stores. We also support custom connectors for internal systems.
Customer data is isolated per tenant and encrypted. We support privacy-first configurations suitable for UK and DACH requirements. Talk to us about your data residency needs.
Yes. The agent supports English and German and can search bilingual knowledge bases.
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Would you like to see what the agent can do in a scoped consultation?
