Every ticket gets a
cited answer a human sends.
Each incoming ticket is answered from your own manuals and resolved cases — every step carries a source citation, hallucinations are caught by a grounding gate, and the draft reply and next-best-action wait for a human. Runs on your infrastructure, with a full audit trail.
Your best answers already exist — they just get re-invented on every ticket
The problem
Your best answers already exist — in manuals, runbooks, SOPs, and the tickets your team already resolved — but they live in silos, so every repeat question gets re-answered from scratch. Handle time climbs, answers drift between agents, and knowledge walks out the door with whoever retires.
The moment you point a generic AI chatbot at it, it confidently invents a fix it can't cite. In regulated and safety-critical work that isn't a quality problem, it's a liability — and it is exactly the authority you cannot hand a model: the authority to answer a customer, a patient, or a technician on its own.
Who feels it
- Support and service-desk leaders carrying handle-time and backlog targets, and field-service managers whose technicians wait on tribal knowledge
- Knowledge and enablement owners watching answers drift between agents as documentation ages
- Compliance, quality, and risk officers who must certify that any AI touching a customer, a patient, or a machine is auditable, explainable, and never acting on its own
Fast — assembled from flow8 building blocks that already exist and are adversarially hardened. Seed a small batch of manuals and resolved tickets, point it at your inbound queue with the kill-switch on, and it runs shadow-first — the first cited drafts land in the review mailbox the same day, before any reply can reach a customer.
The knowledge you already own becomes a same-day answer engine
The same pipeline serves every queue you own — one product line or ten.
Your own knowledge becomes an answer engine
It turns the manuals and resolved tickets you already own into same-day cited drafts — no model training, no re-platforming your help desk, no data leaving your walls.
Handle time drops on repeat tickets
The agent edits a drafted, cited answer instead of researching from zero — a root-cause plus step-by-step fix, ready to review and send.
Every step carries a source citation
Each answer step resolves to a specific manual section or prior case, so the reviewer trusts it in seconds and the auditor can reconstruct exactly where it came from later.
Hallucinations are caught, not shipped
A grounding gate flags any uncited or off-base step before a human ever sees it — the assistant is honest about what it doesn't know instead of fluent about something it made up.
Nothing auto-sends to a customer
The draft reply and the next-best-action task wait for a human. No customer is emailed, no ticket auto-submitted, no part auto-ordered — a wrong answer can't reach anyone on its own.
A knowledge-gap map, for free
Every ungrounded step and low-confidence answer is recorded, so the topics your corpus is thin on surface as data — you learn where the knowledge base needs filling.
One governed spine, from inbound ticket to human-approved reply
The model proposes a cited answer; a human sends it; nothing touching a customer or an action ever auto-fires. It is the same secure spine every flow8 Solution runs — here worn as a cited answer engine.
proposed cited draft on a tamper-evident ledger — not a sent reply.proposed rows on the shared actions ledger.
draft, not act
Cited Auto-Resolution gives every incoming ticket a head start a human finishes. First it builds a knowledge base you own — ingesting your manuals and historically resolved tickets, embedding them into a vector store, and mirroring per-chunk provenance into a relational table so every citation resolves to a human-readable source. Then, per ticket, it embeds the query, retrieves the most relevant chunks, runs the injection pre-scan before any model sees the text, and a schema-locked LLM drafts a root-cause and step-by-step answer where every step cites a specific source.
Because the LLM may only reference chunk ids it was handed — the grounding gate flags any out-of-set or uncitable step, citations resolve deterministically from the provenance mirror, and the evidence row is written before any draft on a hash-chained, signed ledger — you get agentic value without ever handing a model the authority to answer on its own. Off-the-shelf chatbots let a model speak first and bolt on citations later; flow8 makes the citation the architecture.
Secure and efficient by construction — not by policy
Secure by construction
- Deterministic injection pre-scan. A Code heuristic (control / zero-width / bidi chars + imperative-override markers) treats the ticket AND every retrieved chunk as data — because a poisoned manual could have slipped past ingestion. A flagged unit takes zero LLM passes and is quarantined. There is no security module pretended.
- Never auto-act on a customer or an action. No requester is emailed, no service ticket auto-submitted, no part auto-ordered — the cited reply and next-best-action are written as draft
proposedrows and wait for one human approval. It is the program-defining invariant. - Grounding gate over audited evidence. Every answer step must cite a chunk from the retrieved set; citations resolve deterministically from the provenance mirror, and any out-of-set or uncitable step is flagged ungrounded — recorded with model, prompt version, retrieved chunk ids and scores before any draft fires.
- Tamper-evident ledger. Each row can carry a per-actor hash chain plus an HMAC-SHA256 signature under a frozen canonicalization, with a read-only sweep re-verifying the chain to catch any sent-not-prepared escape — an EU-AI-Act-grade trail your auditor can read.
- Sovereign and provider-swappable. Your corpus and the vector index live entirely inside your own infrastructure; the relational store is the citation system of record and the vector index is a rebuildable derived copy; the embedding and AI provider are swappable settings.
Efficient by construction
- Idempotent by construction. Ingestion dedupes by source key and content hash; a revised manual deletes-then-re-embeds in place via deterministic point ids, and a diagnosis keyed to ticket-plus-prompt-version makes a same-version re-run a no-op — bump the version to deliberately re-diagnose the whole queue.
- Draft-not-act removes rework. The agent edits a cited starting point instead of researching from scratch, and because the audit row is written first, a flaky email or task call never loses the work the AI already did.
- Scoped, cursored intake. The mailbox fetch limit is always hard-capped and the cursor advances only to the durably-processed watermark, so a lost cursor degrades to a paged drain, not a full re-pull — the DB unit-key is the real dedup authority.
- Deterministic where it counts. Retrieval, grounding, citation resolution, thresholds, and the final verdict are pure Code over objective signals — the model supplies scores and a draft, Code decides, so quality never rides on a hallucinated confidence number.
- Self-healing knowledge map. Answer coverage, ungrounded-step rate, low-confidence rate, and KB-gap topics recompute every run into a living map of where the knowledge base is thin — instead of freezing a stale number.
Assembled from proven, hardened capabilities
Not rebuilt from scratch — composed from the same governed building blocks every flow8 Solution shares, so it ships in days.
The same process shape serves every answer-driven industry
Any team whose questions arrive against a body of manuals, SOPs, or regulated guidance that every answer must be grounded in before it goes out.
A draft from one solution is the clean upstream another consumes
Adopt this one and it plugs into the spine the others already speak.
Point it at your manuals. Kill-switch on. Shadow-first.
Point it at your manuals and your last year of resolved tickets, and watch the first cited drafts land in your review mailbox today — answers your team finishes, never answers your AI sends. When you're ready, flip on the human-task queue and add the next-best-action, a richer corpus pipeline, or the signed governance ledger on the exact same spine.
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