Evidence-grounded conversational AI

Speak only what you can prove.

VaakSure builds voice and chat agents that answer only from your approved knowledge, verify every important claim before it's spoken, and say "I don't know" when the evidence isn't there.

  • Voice + chat, one brain
  • Verified before it's spoken
  • Every turn audited
  • SaaS, live in weeks
One governed turn · Card Services Assistant
01 · Caller says
"Hi, what's the annual fee on my Platinum card? And is there any way to get it waived?"
Voice · English · streaming speech-to-text
02 · Claims matched
C-101 · Annual feeApproved · Fees Schedule v7, p.3
C-102 · Fee waiverApproved · Fees Schedule v7, p.3
ValidityEffective to 30 Jun 2027
03 · Verify + policy
Unsupported statements0
Restricted topicsClear
AI disclosureShown
DecisionPass → speak
04 · Spoken + audited
"The Platinum annual fee is ₹2,500 plus GST, and it's waived if you spend over ₹3 lakh in the card year."
Turn T-4805 · claims C-101, C-102 · policy p7 · release r12 · hash-chained
The trust gap

Conversational AI is easy to build. Hard to put your name behind.

Fluency gets demos approved. Proof is what gets pilots past compliance — and most agents can't show either.

Accuracy
“The annual fee is ₹1,999.” It never was.

Sounds confident. Isn’t true.

Your agent delivers a fee, a dosage, or a clause with total certainty — while the source never said it. Retrieval helps; it doesn’t stop the model inventing the rest.

One fluent wrong answer can cost more than a hundred silent ones.

Audit
Customer disputes the call. You have a transcript — and nothing else.

An answer with no paper trail.

When someone challenges what the bot said, there’s no record of which source, which policy version, or which decision let that sentence through.

If you can’t explain it, you can’t defend it.

Freshness
Rates changed Tuesday. The agent still quotes last quarter.

Stale knowledge, still on the line.

Circulars expire, products retire, documents get re-uploaded — but old chunks linger. The agent keeps speaking yesterday’s truth as if it were live.

Outdated answers don’t feel outdated until a customer acts on them.

The architectural difference

RAG retrieves context. VaakSure decides what the agent is allowed to say.

Your knowledge becomes governed claims — each with an owner, evidence, approval and an expiry date. Every draft answer is checked against them before a single word reaches the user.

The usual path

Typical RAG chatbot

Cites documents
  1. 01User asks
  2. 02Retrieve document chunks
  3. 03LLM generates an answer
  4. 04Answer sent, maybe with a linkNo gate

Whatever the model writes goes out. Grounding is hoped for, not enforced.

The VaakSure path

VaakSure

Governs claims
  1. 01User asks voice or chat
  2. 02Understand intent · route
  3. 03Retrieve approved claims + evidence
  4. 04Draft response, constrained to claims
  5. 05Verify every statement · apply policyGate
  6. 06Pass, regenerate, abstain or escalateDecide
  7. 07Speak with evidence · write the audit record

Nothing unverified is spoken. When evidence runs short, the agent says so and hands off.

The Conversation Trust Loop

Seven steps between a question and an answer you can stand behind

Every turn runs the same gated pipeline — and every turn feeds the next improvement.

Step 01 of 07 Prepare

Knowledge

Connect PDFs, SOPs, policies and sites. Every source is versioned and ranked by authority — so the agent only learns from what your team trusts.

In plain words: This is where your approved content enters the system.

The loop never stops. Abstentions surface knowledge gaps, expiring claims alert their owners, and every change is regression-tested before it goes live.

Live demo

Ask the agent. Then see why it answered.

A sample banking agent on a demo claim registry. Try an out-of-scope or risky question — watching it decline is the point.

Card Services Assistant Harbor Bank · demo tenant · release r12

Pick a question below to start the conversation.

The platform

Seven modules. One accountable agent.

Built as an AI Control Plane: the model is a replaceable part; the trust layer is the product.

AI Control Plane Models come and go. Trust stays.

VaakSure wraps any LLM with knowledge, claims, policy, verification and audit — so every answer is something you can stand behind.

01Ingest

Knowledge Studio

Upload or connect SharePoint, Drive, websites and files. Every source is versioned and ranked by authority.

Where approved content enters.
02Signature

Claim Registry

AI-proposed claims, human-approved. Owner, evidence, dates, risk tier — and which conversations used each one.

The only sentences the agent may say.
03Configure

Agent Studio

Persona, tone, voice, knowledge scope, allowed and restricted topics, escalation rules and channels — no code.

Shape the agent without engineering.
04Converse

Conversation Engine

Human-like voice and chat: intent, routing, session memory, barge-in, English + Hindi.

Sounds natural. Remembers the call.
05Signature

Trust & Governance

Claim verification and policy before speech. Pass, regenerate, abstain or escalate — always a designed path.

Nothing unverified reaches the user.
06Trace

Conversation Observatory

A trace for every turn: transcript, sources, claims, policy, decision, versions and latency. Exportable.

The receipt behind every answer.
07Release

Improvement Loop

Golden and adversarial test sets, release gates, pinned release bundles and one-click rollback.

Ship safer. Roll back in one click.
+Extend

Your stack

Bring your own LLM, speech and cloud. Azure-first, model-agnostic, API and web widget included.

Fits your models, not the other way around.
Module 01 · Ingest

Knowledge Studio

Upload or connect SharePoint, Drive, websites and files. Every source is versioned and ranked by authority — so the agent only learns from what your team trusts.

Human-like, on voice

Sounds like your best agent. Checks like your compliance team.

Verification runs sentence by sentence while the answer streams, so trust doesn't cost the caller an awkward pause.

  • Natural turn-taking — callers can interrupt, and unspoken sentences are dropped
  • Remembers context across the conversation — "that card", "the fee you mentioned"
  • English and Hindi, including the mixed way people actually speak
  • Risk-tiered checks: small talk goes fast, fees and dosages always get full verification
  • Discloses it's an AI at the start of every call — always on
Hear it on your content
Voice latency budgetDesign target
End of caller speech → first audio · p50
End-of-turn detection
200 ms
Intent + route
80 ms
Retrieve claims
150 ms
LLM first sentence
400 ms
Verify sentence
120 ms
Speech first audio
200 ms
Target≤ 1.2 s p50 · ≤ 2.0 s p95
Later sentences verify while earlier ones play. Latency is a release gate, not an afterthought.
7product modules, one trust layer
4designed outcomes per turn: pass, regenerate, abstain, escalate
21channels, voice and chat, sharing one brain
Everyturn written to an append-only audit record
Industries

Same platform. Your knowledge, your policies, your voice.

Healthcare is where it was proven. Pick your industry to see the use cases that win compliance — and customers.

Proven 01

Pharma & medical affairs

Stay inside approved claims. Escalate adverse events. Never invent a dosage.

Medical information and patient-education agents grounded in labels and MI letters.

Label · MI letters → claims → MI agent
High volume 02

Banking & NBFC

Quote fees and rates exactly as the terms state — every time.

Product and servicing assistants for cards, loans and eligibility that compliance can defend.

MITC · fee schedules → claims → card & loan assistants
Policy-critical 03

Insurance

Coverage answers from the wording — exclusions included.

Coverage Q&A grounded in policy documents, with disputes routed to a human.

Policy wordings → coverage claims → coverage agent
Employee trust 04

HR & employee services

One citable answer to “what’s the leave policy?” — in their language.

Consistent helpdesk answers from HR policies and benefits, not hallway folklore.

HR policies · benefits → claims → employee helpdesk
Safety-first 05

Manufacturing & field service

Where “close enough” on an SOP isn’t close enough.

Floor and technician assistants for procedures and safety instructions that must be exact.

SOPs · manuals → verified steps → technician assistant
Syllabus-bound 06

Education

Teach from the course pack — not the open internet.

Tutors that explain from the prescribed syllabus and approved course material only.

Curriculum · notes → learning claims → grounded tutor

Select your industry to see ready-to-pilot use cases, sample questions, and what compliance gets out of the box.

How a pilot works

From your documents to a live, audited agent in about ten weeks

A paid pilot on one high-volume, high-risk use case — with success criteria agreed with your compliance owner up front.

Week 1 Choose

Pick the use case

One conversation that's frequent, costly to get wrong, and currently handled by people. We agree success criteria with your compliance owner before a single document is uploaded.

  • Scoped use case + channel
  • Named compliance owner
  • Written success metrics
Built for the whole buying team

One agent, every stakeholder's question answered

Open any seat to preview the dashboard they would live in — and the decision it unlocks.

01

Compliance & risk

Approve what may be said, see every conversation that used it, and export the audit trail.

“Can I prove what it said and why?”
02

CX & digital leaders

Human-like voice and chat that deflect real volume without creating new complaints.

“Will it actually resolve calls?”
03

IT & architecture

Model-agnostic, SSO and RBAC, data residency, and a sovereign deployment option.

“Where does our data go?”
04

Knowledge owners

Approve claims in bulk, get alerts before they expire, and see the gaps customers hit.

“How much extra work is this?”

Each preview is a product feel — not a screenshot dump. Click a seat to step into their view.

Security & compliance

Enterprise SaaS, built for a regulated stack

Grounded in your approved knowledge and governed by your policies. We don't promise a perfect model — we make every answer accountable.

Trust marks Controls mapped to each framework. Ask us for current attestation status and reports.
  • EU privacy
  • Type II programme
  • BAA dedicated
  • InfoSec
  • AI management
  • India privacy
  • Art. 50 disclosure

AI disclosure built in

Users are told they're talking to AI at the first interaction, on chat and voice — aligned with EU AI Act Article 50.

Transparency

Privacy by design

PII redaction before logging, consent capture, export and deletion APIs — designed for India's DPDP rules and GDPR.

Data protection

Model-agnostic

Azure OpenAI, Claude, Gemini or open-weight models. Your prompts and data are never used to train shared models.

Your models

Tamper-evident audit

Append-only, hash-chained turn records, pinned to the exact agent, policy and claim versions that ran.

Integrity

Human-approved changes

The system proposes improvements; people approve them. New policies run in shadow mode before they gate.

Governance

Enterprise identity

SSO with Entra ID or Okta, role-based access for builders, reviewers and knowledge owners.

Access control
Shared SaaS India and EU regions, tenant-isolated data, indexes and keys.
Sovereign Deployed in your cloud. Your keys, your models, your boundary.
Questions

Frequently asked questions

Is VaakSure 100% accurate?

No AI system can honestly promise that. VaakSure promises something more useful: answers grounded in your approved knowledge, important statements verified before they're spoken, an "I don't know" when evidence is missing, and a record of every decision.

Is VaakSure SOC 2, GDPR and HIPAA compliant?

VaakSure runs on a security and privacy programme with controls mapped to SOC 2, ISO 27001, GDPR, HIPAA and India's DPDP rules. HIPAA workloads run on the dedicated tier under a Business Associate Agreement. Contact us for current attestation status and reports.

How is this different from a RAG chatbot?

RAG retrieves documents and hopes the model stays within them. VaakSure turns knowledge into governed claims with owners and expiry dates, then checks each draft answer against them — and blocks, regenerates, abstains or escalates when it doesn't match.

Won't curating claims create a lot of extra work?

Claims are proposed by AI from your existing approved content; your team reviews and approves in bulk. Most organisations already have approved statements — product terms, MI letters, SOPs — so it's mostly a one-time import, then expiry alerts.

Does it really sound human on the phone?

Yes — streaming speech, natural turn-taking, interruptions and memory within the call. Verification happens sentence by sentence while the answer streams, with a target of about 1.2 seconds to first audio.

Which languages, models and channels are supported?

English and Hindi at launch, with more Indic and European languages on the roadmap. Any major LLM or open-weight model. Web chat, web voice, phone (SIP) and API today; WhatsApp and Teams next.

Design partner programme

Put your knowledge behind an agent you can defend

We're onboarding a small group of design partners in banking, insurance, healthcare and HR. Bring one use case — we'll show you every answer, and the evidence behind it.