Faster time-to-value
Reach useful accuracy sooner.
Turn production failures into focused improvements, so agentic AI delivers value sooner.
Continuous improvement software for AI agentsFind what your AI gets wrong.
Find what your AI gets wrong.
Teach it to get it right.
Get value from agentic AI sooner. Improve accuracy faster, reduce maintenance work and token waste, and put your business experts in charge of lasting improvements.
Faster time-to-value
Lower maintenance costs
Less token waste
Direct business ownership
Domain expertise captured
Why SyllotipsYour agent is live.
Your agent is live.
Improvement is still manual.
A failure becomes an expert review, a ticket, an IT change and another release. The time between insight and improvement is where value gets stuck.
Illustrative example · Customer support
“Can I return an unused sale item after 10 days?”
The AI says no.
The policy allows it.
The policy allows it.
Each batch brings more reviews.
Each fix brings more handoffs.
Manual improvementBusiness & expertsAI & IT
- 01
The AI gets it wrong
“Sale items cannot be returned.”
- 02
Someone spots the answer
The team reads chats one by one.
- 03
An expert checks the rule
“Unused sale items: 14-day returns.”
- 04
A ticket goes to IT
Notes, meetings and follow-ups.
- 05
IT makes the change
Turn the expert’s feedback into an update.
- 06
Release. Review again.
The team checks the next batch of chats.
Your experts spend time reading similar cases and explaining the same rule again.
More conversations → more manual review
Corrections travel through tickets and meetings. Turning them into reusable guidance is another job for the team.
Scale expert review, without the overloadOne expert correction.
One expert correction.
Many better answers.
Syllotips finds the issues that need judgement. Experts correct them once. Approved knowledge helps agents handle the next conversation.
01Conversations
02Find & group
SyllotipsFind failures.
Group similar issues.03Priority issues
Sale returnsDeliveryRefund steps04Right experts
PolicyOperationsPayments05Approve
Validated
corrections06Remember
Governed
memory07Reuse
Many conversations & agent runsExpert judgement, where it adds valueBetter future conversations
The sale-returns example
Your policy expert approves one rule:
“Unused sale items can be returned within 14 days.”
Agents reuse it in future conversations
Day 10Return allowed
Day 20Outside the 14-day window
Your experts resolve the issue.
They don’t have to review every similar conversation.
What happens behind the scenes?
Guardian agents evaluate conversations and agent runs, attribute knowledge or behavioural failures, and group related issues into prioritised expert tasks. Approved facts and procedures are saved in governed memory, which agents retrieve at runtime.
Business experts own the contribution. AI and IT teams retain control of integrations, permissions and deployment.
Explore the softwareFollow the highlighted step · 1 of 6
Faster value.
Less work to keep improving.
Close the loop between the people who know your business and the agents doing the work.
Lower maintenance costs
Less time fixing. Less expert effort.
Move from repeated reviews and handoffs to targeted expert tasks and reusable corrections.
Less token waste
Spend tokens on answers, not retries.
Agents retrieve the approved fact or procedure directly, instead of burning tokens on oversized context, retries and trial and error.
Direct business ownership
Let the people who know own the fix.
Business experts contribute and validate knowledge directly, without translating every update through IT.
Domain expertise captured
Keep the facts. Keep the know-how.
Retain factual knowledge and procedural expertise in governed memory for agents to reuse.
A shorter time-to-fixFrom weeks of handoffs
From weeks of handoffs
to a fix in hours.
The target for fixes delivered through approved knowledge and procedural guidance: attribute the failure, get the expert contribution, and make it reusable at runtime.
Experts spend less time repeating themselves. Your AI team spends less time translating their feedback.
Put the closed loop to work
Now, try an improvement.
Choose a wrong answer, a failed lookup or a missed step. See the failure, apply the expert correction and replay the next run.
Try an improvementInteractive example · Sample data
Customer support assistantOriginal run
Customer request
Can I return a sale item after 10 days?
Agent response
No. Sale items cannot be returned.
Failure detected by SyllotipsInside this runOne failure to investigate
- 1Read question
- 2Search policy
- 3Answer
Inspect the evidence
Retrieved: General returns policy Sale-item rule: not found Answer: Sale items cannot be returned
Syllotips01 / Find
Guardian failure attribution
The answer invents a rule.
The retrieved returns policy says nothing about sale items. The agent treats missing information as a reason to say no.
Missing knowledge
What is the return window for sale items?
Expert task
Give the agent the missing guidance.
PEReturns policy expertCompletes the task in Teams or Syllotips
“Unused sale items can be returned within 14 days of purchase.”
The expert validates the rule before it becomes retrievable knowledge.
Improvement retained
The right answer. Backed by an approved rule.
The next question retrieves the expert’s contribution alongside the existing policy.
Governed memory · Runtime reuse
Explore RAG improvement
Sale-item returns · 14 days · Unused items
Expert-approved · Scoped · Traceable1Find the failure2Capture the correction3Improve the next run
Finance operations agentOriginal run
Customer request
Why is invoice INV-204 still unpaid?
Agent response
I could not find that record. Please check the invoice number.
Failure detected by SyllotipsInside this runOne failure to investigate
- 1Read request
- 2Find supplier
- 3No match
Inspect the evidence
Tool: lookup_supplier Input: INV-204 Result: No matching supplier
Syllotips01 / Find
Guardian failure attribution
It looks for an invoice in the supplier directory.
The invoice number is valid. The agent sends it to the supplier lookup, so the ERP returns no match.
Incorrect tool call
Supplier lookup ← Invoice INV-204
Expert task
Give the agent the missing guidance.
FOFinance process ownerCompletes the task in Teams or Syllotips
“For an invoice question, use the invoice lookup first. Then read the payment status and hold reason.”
Your team validates and integrates the guidance before the agent uses it.
Improvement retained
The right tool. A useful answer.
The corrected guidance routes the request to the invoice record and its payment status.
Governed memory · Runtime reuse
Explore agent improvement
Invoice questions → Invoice lookup → Hold reason
Expert-approved · Scoped · Traceable1Find the failure2Capture the correction3Improve the next run
Order operations agentOriginal run
Customer request
Send the replacement to my new address.
Agent response
Done. The replacement is going to your address on file.
Failure detected by SyllotipsInside this runOne failure to investigate
- 1Read request
- 2Use old address
- 3Create order
Inspect the evidence
Requested: New delivery address Address used: Account default Action: Replacement order created
Syllotips01 / Find
Guardian failure attribution
It creates the order before confirming the address.
The customer asked for a new address. The agent skips that check and uses the old address from the account.
Missing step
Confirm new address → Create replacement
Expert task
Give the agent the missing guidance.
CLCustomer operations leadCompletes the task in Teams or Syllotips
“When a customer requests a new address, ask for it and confirm it before creating the replacement order.”
Your team validates and integrates the new sequence before it is used.
Improvement retained
The right sequence. No premature order.
The improved agent asks for the missing address and waits for confirmation before taking action.
Governed memory · Runtime reuse
Explore agent improvement
New address requested → Confirm before ordering
Expert-approved · Scoped · Traceable1Find the failure2Capture the correction3Improve the next run
How Syllotips worksFrom an agent failure
From an agent failure
to knowledge it can reuse.
Guardian agents attribute the failure. Experts contribute through tasks. Governed memory brings that expertise into the next run.
Syllotips reads conversations from low-code agents, or traces and trajectories from pro-code agents. The available activity provides the evidence for understanding answers, decisions and actions.
Input depends on the agent and its integration.Guardian agents inspect the activity and attribute failures to missing or incorrect knowledge, or to behaviour such as planning, tool calling and skills. Related failures are grouped so experts can address a recurring issue with the relevant evidence.
Knowledge gaps · Planning · Tool calling · SkillsSyllotips creates a prioritised task with related failed interactions and their context. The expert supplies the missing knowledge or correct procedure, then validates the contribution for reuse.
Review the evidence → Contribute → ValidateExpert contributions are saved in governed memory with their context, ownership and scope. Agents retrieve the relevant knowledge and behavioural guidance at runtime to inform later answers and actions.
Expert validation · Access & scope · ProvenanceThe agent retrieves relevant expert contributions from governed memory while it works. That context informs its answers, planning, tool use and skills. The next conversation or trajectory provides new evidence for the same improvement loop.
Your agent and its integrations determine how guidance is used.Human expertise. Governed contributions. Runtime reuse.
Expertise that keeps working
Your people know. The exception to the policy. The right tool. The missing step.
Your agents can learn. Capture the expertise once, and put it to work in future interactions.
Fits your starting point
Where are you with AI?
Start with the agents you have, or build what you need. The same improvement software connects every route.
Your starting point
Improve the answers your RAG gets wrong.
Find unsupported answers and missing knowledge. Bring in your experts and make their approved contributions available to retrieval.
Improve an existing RAGYour RAG assistantYour knowledge base
Your starting point
Improve how your agents get work done.
Evaluate plans, tool calls and outcomes. Find the recurring failure, capture the right procedure and validate the guidance with your team.
Improve an existing agentYour agentYour tools & systems
Your starting point
Give your AI the context it needs.
Use our retrieval software with your application, or deploy end-to-end RAG. Handle complex documents and enrich the knowledge through expert review.
Explore RAG & retrievalYour applicationSyllotips retrieval
Your starting point
Start with the workflow. We’ll build the agent.
Our engineers design, integrate and deploy a custom agent on the Syllotips stack, with your systems, human approvals and ongoing improvement.
Explore agent developmentYour workflowSyllotips agent stack
Syllotips continuous improvement
Evaluate · Involve experts · Reuse approved improvements
Customer resultsReal work.
Real work.
Measurably better results.
See how enterprise teams turn specialist knowledge into better support and more reliable answers.
Trusted by enterprise teamsBacked and recognized by
−40%Level-2 escalations
EOLOScale support expertise.
Enterprise Architect, EOLORead the customer story
Scale support expertise.
Reduce the repeat escalations.
“Syllotips integrated quickly into our workflows, helping us scale EOLO’s know-how in a controlled and consistent way.”Ayoub Mizmizi
Enterprise Architect, EOLORead the customer story
Explore all customer storiesReported results from individual customer deployments.
Built for your enterpriseYour agents. Your experts.
Your agents. Your experts.
Your controls.
Connect the software to your existing environment, keep people in control of updates, and choose where it runs.
Deeply connected to Microsoft.
Copilot Studio for agents. Teams for experts. SharePoint for knowledge. Available through Azure Marketplace.
Explore integrations
Governed by your business.
Expert validation, controlled access and traceable contributions. SOC 2 Type II and ISO 27001 assurance. ACN QC1 qualified SaaS service.
Visit the trust centreDeployed on your terms.
Use your chosen models. Run as SaaS, in a private cloud or fully on-premises to match your environment.
Deployment optionsFrom the Syllotips teamThinking behind
Thinking behind
the improvement.
Tribal Knowledge: Why AI Agents Need Experts as Managers
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Knowledge Operations: Why Documenting What Experts Know Is Never Finished
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AI Agent Ops: What Happens When an Agent Doesn't Get It Right
Read articleWhat does Syllotips do?
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.
Is this for RAG assistants or agents that take actions?
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.
Do we have to replace our agent or vector database?
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.
How do our experts contribute?
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.
Bring an AI failure.
Let’s find the improvement.
Show us a real question or workflow your agent struggles with. We’ll work through where Syllotips fits and what a useful first deployment looks like.