Avido
Knowledge QA for AI teams

Make your company knowledge ready for AI.

Avido finds the gaps, contradictions, and stale pages AI would inherit, then turns your content into structured, testable source material that is ready for safe, useful AI.

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·Start with public or non-sensitive content. No production integration needed.

AI-readinessNeeds work
62/ 100

Strong on product basics. Weak on policy and account edge cases.

Coverage
71
Consistency
58
Source quality
64
Retrievability
55
3
contradictions
18
coverage gaps
64
tests ready
  • 01Built for teams making knowledge safe and usable for AI.
  • 02EU-hosted. Your content is not used to train third-party models.
  • 03Starts with public or non-sensitive content. No production integration required.

Used by teams caring about confident AI

ABN AMROKaminaSkatteguidenAL Sydbank
The problem

Most company knowledge was not built for AI.

Help centres, PDFs, internal docs, FAQs, websites, and policies were written for humans browsing pages. AI systems use that same content very differently. They retrieve fragments, combine sources, cite answers, and respond at speed. If the knowledge is scattered, stale, or contradictory, the AI inherits the mess.

Written for humans

A person opens the most recent page and reads top to bottom.

Used by AI

Retrieves a fragment from page 1 and a fragment from page 27.

Written for humans

Skims past an outdated paragraph because the date says 2021.

Used by AI

Quotes the outdated paragraph back to your customer with confidence.

Written for humans

Notices two FAQs contradict and asks a colleague which is right.

Used by AI

Picks one of the two at random and answers in 800 milliseconds.

Written for humans

Can tell that a section was clearly written for marketing, not support.

Used by AI

Treats it as source material with the same weight as the policy doc.

Why this matters now

Messy knowledge creates messy AI.

When the source material is weak, teams patch prompts, tune retrieval, and blame the model. The real fix starts earlier: make the knowledge complete, consistent, and testable before AI depends on it.

  • Conflicting pages give different answers to the same question.
  • Important questions have no clear, source-backed answer.
  • Old content stays live long after the policy changed.
  • Useful information is buried inside long PDFs or six clicks deep.
  • Teams cannot say with confidence what the AI can safely answer.
Where it sits

The product layer for AI-ready knowledge.

Avido Knowledge does not replace your CMS or help centre. It gives the source material its own quality system: mapped, checked, structured, and kept ready before AI has to rely on it.

BeforeYour knowledge
  • Help centre
  • Documentation
  • Policies
  • PDFs
  • FAQs

Scattered · stale · contradictory

The quality layerAvido Knowledge
  • 1Map
  • 2Diagnose
  • 3Improve
  • 4Test
  • 5Export

Structured · consistent · tested

Ready forAI use
  • Chatbots
  • Copilots
  • Agents
  • RAG systems
  • AI support

Source-backed answers customers can rely on

The product

A quality system for the knowledge AI depends on.

Five steps from scattered content to AI-ready source material. You get the first map quickly, then keep the loop running as pages, policies, products, and customer questions change.

  1. 1

    Map

    See what the company actually knows.

    Avido turns help centres, docs, FAQs, PDFs, and policies into a single map of topics, tasks, user intents, claims, entities, and ownership. You finally know what is in there before AI has to rely on it.

    • Topic and intent map across every source
    • Claims, policies, and entities surfaced automatically
    • Ownership and source relationships made visible
  2. 2

    Diagnose

    Find the issues that make AI answers unreliable.

    Avido reads the corpus the way an AI system would and reports back where it would struggle. Contradictions between pages. Stale guidance that was never retired. Topics with no clear source. Claims that no document actually supports.

    • Contradictions, duplicates, and stale pages
    • Coverage gaps for real customer intents
    • Risky or unsupported claims flagged with sources
  3. 3

    Improve

    Turn messy content into AI-ready source material.

    Avido suggests structural fixes that make retrieval cleaner: clearer canonical answers, citation-ready sections, better metadata, retrieval-friendly chunks, and a tighter source hierarchy. Your writers stay in charge of voice and tone.

    • Canonical answers for the questions that matter
    • Cleaner structure and metadata for retrieval
    • Recommended consolidations, rewrites, and retirements
  4. 4

    Test

    Prove the knowledge can support AI answers.

    Avido turns your own content into realistic readiness checks and shows whether the knowledge has a clear, source-backed answer. You see where the source is solid, where it contradicts itself, and where there is nothing reliable to lean on.

    • Readiness questions generated from your real content
    • Source attribution and contradiction checks on the knowledge itself
    • Coverage scores per topic, intent, and policy
  5. 5

    Export or sync

    Use the improved knowledge where it lives.

    Avido fits the tools you already use. Export improved content as files. Sync changes back to a CMS. Prepare retrieval-ready chunks, canonical answers, and structured source material for the AI work ahead.

    • Export to files or push back into your CMS
    • Retrieval-ready chunks and canonical answers
    • Structured source material ready for AI teams
What this is

Not documentation. Not search. Not RAG tuning.

AI Knowledge Readiness is a different category. Here is what that means in practice.

Avido does this
Avido is not this
Quality of the source material AI reads from.
Documentation cleanup for human readers.
Checks that prove which questions the knowledge can support.
Search or navigation for your help centre.
The source-quality layer that makes AI safer to launch.
After-the-fact prompt patching or retrieval tuning.
Findings traced to the exact pages they came from.
Vague AI-confidence scores with no source attribution.
A standalone product for AI-ready knowledge.
A replacement for your CMS, vector DB, or knowledge base.
What you actually get

See exactly what needs work, and why.

Avido does not just tell you your content is messy. It shows where, why, and what to do next. Every finding traces back to the source pages it came from.

AI-readiness scoreLive view
62/ 100

Strong on product basics. Weak on policy questions and account edge cases.

Coverage
71
Consistency
58
Source quality
64
Retrievability
55
Top recommended fixes
  • High
    Refund window stated two different wayshelp-centre/refunds.md vs policies/consumer-rights.pdf
  • High
    No source-backed answer for billing country changeCustomer intent has zero matching pages
  • Medium
    Plan downgrade behaviour is split across 4 articlesConsolidate into one canonical answer
Intent coverage
  • Cancel a subscription
    Strong
  • Refund a duplicate charge
    Weak
  • Change billing country
    Missing
  • Reset two-factor on lost phone
    Weak
  • Export account data
    Strong
Contradiction · Refund window

How long does a customer have to request a refund?

help-centre / refunds.md

Refunds can be requested within 14 days of purchase.

policies / consumer-rights.pdf

Customers have a 30-day right of withdrawal on digital goods.

Same question. Two source-backed answers. AI will pick one of them.

Readiness checks
Auto-generated
  • Q01What happens to my add-ons if I downgrade my plan mid-cycle?
  • Q02Can I get a partial refund if I cancel after a renewal charge?
  • Q03Where do I update the VAT number on an existing invoice?
  • Q04How long are support sessions retained after a ticket closes?

Avido uses these to keep checking whether the knowledge has a clear, source-backed answer as the source material changes.

See it on your own content

Bring a help centre or a folder of docs. In 15 minutes we will walk you through the first readiness view and how it keeps updating.

Book a demo
Where teams start

Make the knowledge ready before AI depends on it.

Most teams begin with one corner of their knowledge, see what is missing, then keep improving the source material as products and policies change.

  • 01Fewer risky answers later

    Prepare a help centre for AI readiness

    Find the gaps and contradictions in public content before they become AI answer problems.

  • 02One source of truth, on the record

    Reconcile docs, FAQs, and policy pages

    Catch the places where three teams have quietly written three different answers to the same question.

  • 03Knowledge QA, automated

    Create readiness checks from your own content

    Turn source material into realistic questions and edge cases that prove whether the knowledge is usable.

  • 04Roadmap your knowledge gaps

    See where customer intent has no coverage

    Compare what people actually ask about against what your knowledge base can answer cleanly.

  • 05Make go-live less risky

    Improve public content before AI goes live

    Give AI source material that has been mapped, fixed, and checked, not just published.

  • 06Catch regressions before users do

    Keep AI knowledge current as products change

    Continuously check your source material so new gaps and contradictions surface before the AI starts answering wrong.

Who owns this work

Built for the people responsible for AI answers.

If your team owns the source material AI will depend on, this is the quality system for making it complete, consistent, and safe to use.

Teams
  • Support and CX
  • Knowledge management
  • Documentation
  • Product operations
  • AI product
  • Digital product
Companies
  • SaaS with large help centres
  • Fintech and digital banks
  • Insurance and financial services
  • Marketplaces and platforms
  • Support-heavy operations
  • High-trust digital services
Two ways to start

Start small, or bring us your whole knowledge base.

1Self-serve

Start with a small set of public pages.

Point Avido at public content. See where your knowledge is strong or weak, then keep the same checks running as the source material changes.

  • Public help centre or docs
  • Immediate readiness view and walkthrough
  • No production integration required
Book a demo
2Enterprise

For larger knowledge bases and teams that need more control.

For teams with more content, internal documentation, private workflows, ownership needs, or deployment requirements that go beyond the first public content slice.

  • Internal docs and private content
  • Tailored scoping and ownership review
  • Continuous readiness tracking
Book a demo
Get started

Ready to see if your knowledge is ready for AI?

Bring a help centre, a docs site, or a folder of policies. We will show you the first readiness view on your own content, and how it keeps tracking changes over time.

Book a demo
Common questions

Things teams ask before getting started.

Other questions? Reach out and someone on the team will get back to you.