Your enterprise has a workforce.
Now give it an AI workforce.
Four products that resolve customer and employee conversations end-to-end — built around the resolved interaction, not the queue or the answer.
The Shift
Enterprise AI is moving from answering questions to executing work.
Generation One
Answer
FAQ bots and search
- Handles
- FAQs and lookups
- Humans
- Do all the work
- Systems
- Search, read-only
- Outcome
- An answer to read
Generation Two
Assist
Copilots that suggest
- Handles
- Drafts and summaries
- Humans
- In every loop
- Systems
- Context, read-only
- Outcome
- A faster human
Generation Three
Execute
Agents that do the work
- Handles
- The whole request
- Humans
- Escalations only
- Systems
- Read and write
- Outcome
- A completed transaction
BarqLogic is built here
How much of the call each generation owns
The conversation loop — running under every turn
Act
Tool calls into CRM, ERP, EHR and ITSM — a payment, a booking, a claim status — executed with the permissions the user already has.
The Portfolio
Four products. Everything else is a layer on top.
Healthcare agents, IT and HR desks, outbound campaigns, conversational analytics — all of it is these four products configured on the platform layer, not separate software to buy and integrate.
Voice Agent
— The IVR replaced, not decorated.Answers on the first ring
No menu tree and no hold queue. The caller states the problem in their own words and can interrupt mid-sentence without breaking the conversation.
Authenticates and acts
Conversational verification, then the transaction itself — a refill, a booking, a payment, a claim status — completed inside the call rather than promised after it.
Warm hand-off by default
When a person is needed they receive the transcript, the verified identity and the retrieved context — never a cold transfer that restarts the conversation.
Live Demonstration
We would rather show you than tell you.
Four proof points, nothing rehearsed. Run each one and watch the conversation, the platform trace and the system of record move together.
Press Run to play “An unrehearsed question”.
Account #48812 — Priya Raman
Card status
Active
Travel notice
None
Last dispute
—
p95 latency · 742 ms
policy checks · idle
writes committed · 0
AutoQA · pending
You drive all four in the live session — nothing rehearsed, nothing mocked.
The layer on top
One platform, pointed at any domain.
Banking & Fintech
Balance and transaction status, failed-payment recovery, dispute and complaint intake, merchant and partner support — all on the caller's verified identity.
Failed-payment recovery
Outbound voice, verified identity, card retry and promise-to-pay written to the core banking ledger.
Dispute intake
Transaction pulled, evidence captured, case opened in CRM with a provisional credit decision logged.
Card servicing
Freeze, unfreeze, travel notices and replacement orders completed inside the call.
A new domain is a configuration, not a new platform. Same four products, same knowledge and governance — no second integration project.
The BarqLogic Engine
Built as one engine, not assembled from parts.
Conversation Runtime
Real-time stateful execution across speech, reasoning and tools — one live process per conversation, streaming under an 800 ms p95 design target.
Context Graph
Identity, permissions, conversation, enterprise knowledge and transaction state — one graph, one source of truth, read by routing, retrieval and execution alike.
Action Runtime
Governed read-write execution against enterprise systems of record — CRM, ERP, HRMS, ITSM and EHR.
Policy Engine
Pre-action authorization, guardrails, audit and escalation rules on every workflow — governance inside the loop, not bolted on.
Evaluation Loop
Every AI and human interaction feeds AutoQA and operational analytics back into the platform.
Multi-tenant Cloud
Fastest start, data resident in the region you nominate.
Dedicated Private Cloud
Isolated tenancy in your cloud account, same codebase.
Full On-Premise
Runs inside your own VPC — one codebase, not a reduced on-prem edition.
Business model
Priced per resolved interaction — not per seat, not per minute.
You pay for the interactions we resolve. Unit economics are tracked per resolution and improve as containment climbs — measured in the pilot against your own baseline.
Deployment path
Start above your existing stack.
Stage 1
One flow, one queue
Pick the highest-volume, lowest-risk workflow. The voice gateway sits in front of the telephony you already own — nothing is replaced.
Measured on
Containment and handle time
Stage 2
Augment the humans behind it
Agent Assist and AutoQA go live on the same queue, so automated and assisted work are measured against one quality standard.
Measured on
Quality and coaching lift
Stage 3
Expand across the enterprise
The same four products, knowledge and governance extend to workplace, healthcare and outbound engagement — no second integration project.
Measured on
Cost per resolved interaction
Pick one workflow. Give it to the AI workforce.
Name your highest-volume call flow today. We will have it live in 30 days, measured on containment against your current baseline — on your telephony, with nothing ripped out.
Leadership & trust
Santosh Kumar
Founder & CEO, BarqLogic
Founder and technology leader — conversational AI, multi-tenant SaaS and large-scale deployments for regulated financial-services buyers. Built and led engineering organisations from startup scale to global platforms in production.
Conversational AI, in production
Director of Engineering at Avaamo, shipping enterprise conversational AI for global customers.
Fintech data at scale
Director at TransUnion on the OneTru platform — data and decisioning infrastructure for financial services.
Enterprise-grade by default
Most recently CTO of a multi-tenant B2B SaaS platform serving 250+ enterprises, including leading banks and insurers — security, compliance and uptime for regulated industries.
250+
Enterprises served across banking and insurance
16+
Years of engineering leadership
100%
Of interactions scored — AI and human
< 800ms
p95 design target for the full voice loop
Every claim above is measured in the pilot against your own baseline — we would rather prove the numbers than assert them.