Recover the millions your broken knowledge is costing you.
Enterprises lose $47M a year to contradictions, stale docs, and operational misalignment — and AI is multiplying the cost. Alignode quantifies the loss, prioritizes the fixes, and pays back in under 6 months.
Conflict DetectionFind every contradiction before your AI repeats it.
Knowledge AlignmentTurn every conversation & call into actionable intelligence.
30-day audit · Quantified savings report · No credit card
Conflict detected · High impact
Policy A · Support handbook
"Refund allowed anytime."
Policy B · Terms of service
"No refunds after 30 days."
Impact: Customer misinformation risk · Compliance exposure · Revenue leakage
Knowledge Sources
Docs · Meetings · CRM
Alignode
Validation layer
Your AI
Copilots · Agents · RAG
Sources → Alignode → AI
Built for compliance, RevOps and AI teams in regulated industries
Documentation sources analyzed per enterprise
Average payback period
Reduction in AI hallucinations
Connects to every source your knowledge actually lives in
Confluence
Notion
SharePoint
Google Drive
Dropbox
Adobe Acrobat
Slack
Microsoft Teams
Zoom
Gmail
Outlook
Fireflies
Gong
Otter.ai
Salesforce
HubSpot
ZendeskConfluenceNotionSharePointGoogle DriveDropboxAdobe AcrobatSlackMicrosoft TeamsZoomGmailOutlookFirefliesGongOtter.aiSalesforceHubSpotZendeskYour AI chatbot keeps getting it wrong — and you already know why.
Your RAG agent contradicts itself. Your support bot quotes policy from six months ago. Your sales assistant invents pricing. The right answer is in your docs — buried across 200+ Notion pages, Confluence spaces, PDFs and Slack threads. Who has time to find every conflict by hand?
My RAG chatbot gives different answers to the same question.
— Head of AI · SaaS
Root cause · Two retrieved docs contradict each other — the LLM picks one at random.
It still cites the policy we updated six months ago.
— VP Customer Support
Root cause · Stale documents shadow the canonical version in your vector index.
We have hallucinations in production — and we can't trace them back.
— Staff Engineer · RAG team
Root cause · Without source-level validation, every wrong answer becomes a manual investigation.
We have 150+ docs. Reviewing them by hand isn't realistic.
— Knowledge Ops Lead
Root cause · Manual audits don't scale past 30 sources — and they're stale the day they finish.
You don't need a bigger model.
You need clean, conflict-free knowledge. Alignode scans every source, ranks every conflict by business impact, and tells you exactly what to fix — automatically.
You spent a fortune on RAG — to power a chatbot. That's it.
Your team indexed 200+ docs, plumbed every Notion, Confluence and Drive into a vector store, fine-tuned prompts, paid the OpenAI bill. The output? A single chatbot. Meanwhile your sales calls, CS conversations, support tickets and meeting notes never feed anything — not your KB, not your enablement, not your roadmap, not your AI. Same data. One use case. Massive blind spot.
We built a beautiful RAG pipeline. It answers FAQs. That's the entire ROI.
— Head of AI · Enterprise
Root cause · Your AI data only powers a chatbot — not sales, CS, ops, or compliance.
Sales promises things our docs flatly contradict — and the chatbot can't see those calls.
— VP Revenue Operations
Root cause · Conversations never reconcile with the source of truth or the AI.
We make the same decision in three meetings because nobody remembers the first two.
— Chief of Staff
Root cause · Meeting decisions aren't captured against the canonical knowledge base.
Every QBR surfaces objections we already 'solved' six months ago.
— Head of Sales Enablement
Root cause · Lessons from lost deals never close the loop into enablement or AI.
Your RAG corpus is worth 10× what your chatbot extracts from it.
Knowledge Alignment turns the same data into sales coaching, CS guardrails, product signal, compliance evidence — and a continuously self-correcting AI.
The business case writes itself.
Knowledge governance isn't a cost center — it's a recovery program. Here's what enterprise customers can expect to unlock in their first 12 months with Alignode.
Recoverable annual loss
Per enterprise from operational misalignment (IDC, 2023).
Average payback period
Land at one department, expand once the savings show up in QBRs.
Target LTV:CAC at scale
Customers compound value as governance habits embed organization-wide.
Reduction in hallucination remediation
Catch contradictions upstream — before they become support tickets and rollbacks.
Every conflict in your knowledge base has a price tag.
When an LLM retrieves contradictory documents, it doesn't warn you — it picks a side, blends both, or invents a third. The bill arrives later: in support tickets, lost deals, compliance fines, and rolled-back AI deployments.
Direct contradiction
Two documents state opposite facts.
Estimated cost
Avg $2.4M per incident in regulated industries (compliance fines, customer remediation, legal review).
Outdated information
Older docs shadow newer policy.
Estimated cost
12–18% of support tickets traced to stale docs — $480K/yr in avoidable agent time per 100 FTEs.
Silent drift
Slightly diverging duplicates accumulate.
Estimated cost
Sales teams lose 1 in 7 deals to objections already answered in docs — but never surfaced in time.
RAG retrieves data. It does not validate it.
Every enterprise AI stack has the same gap. Alignode is the layer that closes it — before unreliable knowledge becomes unreliable AI.
Today
LLM → RAG → ❌ No validation → Production risk
Confident answers grounded in contradictory sources. Errors ship straight to customers.
With Alignode
LLM → RAG → ✅ Alignode → Reliable AI
Conflicts caught upstream. Every answer grounded in validated, aligned knowledge.
Two products. One quantifiable return.
Alignode sits between your documents and your AI. Each product targets a specific cost line — and produces a specific savings number you can put in front of a CFO.
Conflict Detection
Cuts hallucination remediation cost by up to 80%.
- Replaces $200K+ /yr in manual doc audits with continuous scanning
- Conflicts ranked by modeled $ business impact — fix the top 5%, capture 80% of value
- Eliminates rolled-back AI deployments (avg cost: $1.1M per Fortune 500 incident)
- Audit-ready reliability score for compliance reviews and EU AI Act readiness
Knowledge Alignment
Turns every conversation & call into actionable intelligence aligned with your truth.
- Surface objections that closed-lost deals — typical recovery: 1 deal in 7
- Catch decisions that contradict policy before they hit production
- Replace 4–6 hrs/week of manual cross-referencing per knowledge worker
- Turn every meeting into a feedback loop that improves the knowledge base
Three things converging — at once
AI deployment is accelerating. Regulatory pressure is real. The infrastructure layer is settled. Governance is the next bottleneck.
Enterprise RAG market in 2024, growing 45% YoY
Avg disconnected documentation sources per enterprise
Annual loss per enterprise from operational misalignment
Upstream governance, not downstream observability
Existing tools either index, retrieve, or monitor AI outputs. Nobody is sitting upstream — at the knowledge layer — doing continuous governance. We are.
Upstream by design
Catch problems at the source, not after a hallucination ships.
Prioritized remediation
Conflicts ranked by modeled business impact, not raw count.
LLM-agnostic
Bring your own OpenAI, Anthropic, Azure, or Mistral keys.
Production-ready
Temporal workflows, async Postgres, hexagonal architecture.
Get a quantified savings report on your own corpus.
In 30 days we'll scan a representative slice of your knowledge base, model the dollar impact of every conflict found, and hand you a board-ready ROI report. You keep it either way.