Straight answers
to useful questions.

Syllotips is continuous improvement software for enterprise AI agents. It reads agent conversations, traces and trajectories. Guardian agents attribute knowledge and behavioural failures, experts contribute through tasks, and approved contributions are saved in governed memory for agents to reuse at runtime. Connect existing agents, use our enterprise retrieval layer, or build an agent with the Syllotips engineering team.

Both. For RAG, the focus is answer quality, missing knowledge and retrieved context. For agents that plan and act, evaluation also covers execution traces, plans, tool calls and outcomes. The same expert feedback process guides improvements to knowledge and behaviour.

No. The improvement layer connects to your existing agent and retrieval stack. Approved expert knowledge can be retrieved alongside the knowledge base you already use. Syllotips also offers a complete enterprise RAG stack when you need one.

Experts receive prioritised tasks in Microsoft Teams or the Syllotips web app. Each task includes the failed interaction and context identified by guardian agents. Their validated contribution is saved in governed memory, with its scope and provenance, for agents to retrieve at runtime.

Expert judgment and controlled updates stay in the loop. The mature RAG workflow reuses approved knowledge at runtime. Planning, tool-use and skill improvements require the appropriate governance and integration; broader automated behaviour learning is an active development area.

Yes. Start with enterprise RAG and retrieval, or work with Syllotips engineers to design, integrate and deploy an agent for a specific workflow. Evaluation and continuous improvement are part of the same stack.

Syllotips supports SaaS, private cloud and fully on-premises deployment. Model access, integrations, data location and operational requirements are agreed for your environment.

Start with one agent or workflow, representative interactions and the experts who own the process. Together we define success criteria, integrations and deployment. Pricing is scoped around those requirements.

Syllotips connects production failures to targeted expert tasks and reusable improvements. Teams can address the gaps that hold back useful accuracy instead of repeating manual sampling and disconnected handoffs. In one reported retail-bank deployment, answer accuracy increased from roughly 80% to over 95% in four weeks.

Business experts contribute and validate factual knowledge and procedural guidance directly through tasks. Approved contributions enter governed memory for runtime reuse. IT keeps control of integrations, permissions, tools and deployment; changes to code or infrastructure still follow the relevant engineering process.

Guardian agents attribute failures and provide context for targeted expert tasks. Approved contributions are retained for reuse, reducing repeated reviews and coordination. Moving governed context fixes from weeks of handoffs to hours is the operating target; the actual time depends on review and integration.

Agents retrieve approved facts and procedures at runtime instead of compensating with oversized context, repeated retrieval, retries and trial-and-error tool calls. Fixing a recurring failure once also stops later runs from repeating the same wasted steps. Actual token savings depend on your agents, models and workloads.

Both. Factual knowledge includes product rules, policy conditions and domain-specific answers. Procedural knowledge includes the right sequence of steps, tool selection, exception handling and escalation guidance. Contributions are validated, scoped and retained in governed memory for runtime reuse.