Build
AI agents that do real work in your business
Assistants and automations that answer customers from your approved content, read and check your documents, and take action inside your own systems. They verify who they're talking to before anything personal, and keep a record of everything they do.
What's the status of my claim?
Your claim is with the examiner. Your documents were received.
Verified by one-time codeKobe jante parbo?
পরীক্ষক সিদ্ধান্ত নিলেই আমরা আপনাকে SMS-এ জানাব।
- Document
- Handwritten prescription
- Languages
- Bangla, English
- Extracted
- Medicines, dates, totals
- Next step
- Examiner decides
Why most chatbots and automations disappoint
They answer from the wrong source.
Generic chatbots answer from the open internet or a pile of uploaded files, so nobody can say which version of which document an answer came from.
They can't safely touch customer data.
The moment a customer asks about their own account, the conversation ends with “please call us.”
They break on real documents.
Handwritten forms, phone photos, and two languages defeat template-based automation.
What we do
Agents and automations built on your content, your systems, and your rules
We build two kinds of AI automation. Agents talk to customers or staff: they answer questions, confirm who they're talking to, and complete tasks through your systems. Document automations read claims, IDs, forms, and records, extract the data, and check it against your rules, leaving the final decision with your staff where it matters. Customer and staff agents can run on one2one, our own agent platform, so you start from proven foundations. When the process calls for it, we build custom.
- Answers grounded in content your staff approve and publish
- One-time-code verification before any personal lookup
- Actions in your systems through your APIs: tickets, bookings, status checks, updates
- Document reading for handwritten and printed text, in Bangla and English
- Rules for the clear cases, AI judgment for the ambiguous ones, people for the final call
- Conversation summaries and analytics: intent, sentiment, pain points, follow-ups
What you get
A working agent or automation in production
Embedded on your website with one script tag, or connected to your back-office workflow.
A knowledge library your team controls
Staff draft, publish, and review content without a developer, and every change is recorded.
Secure connections to your systems
Each API with its own authentication, scoped so the agent sees only what it should.
An evaluation set
Real questions or documents with known answers, used to test every change before it goes live.
Dashboards
Volumes, timing, cost, failed actions, and what customers are asking about.
Ongoing tuning (optional)
Content reviews, model updates, and monitoring under Managed Services & Support.
How it works
- 1
Pick the job
One audience, one set of tasks, and a measure of success. If the use case is unproven, we start with an AI Proof of Value.
- 2
Connect content and systems
Load approved content, connect the APIs the agent may call, and set the verification rules.
- 3
Build and evaluate
Configure or build the agent, then test it against real questions or documents with known answers.
- 4
Launch in stages
Staging first, then production, with monitoring from day one.
- 5
Improve on evidence
Review conversations and failures, update content, and change AI models only when the numbers say so.
Typical duration depends on the tasks and systems involved. On our one2one platform, a new agent is a configuration rather than a project; custom automations take longer.
In production, and measured
Our AI support agent platform has served an insurer's public support channel since early 2026. Our claims AI reads handwritten Bangla and English documents and pre-screens each claim against the member's plan.
1,297
Conversations served on the first production deployment, an insurer's public support channel, late January to mid-September 2026
Production snapshot
3.96 → 4.30
Blind-graded answer quality out of 5 on 50 real customer questions after a model upgrade, with invented facts cut from 4 items to 1
Evaluation report, September 2026
18%
Share of claims that need the AI arbiter; the rest are decided by rules alone
Development-set routing counts
1.5 to 2 s
Reading time per National ID card image on GPU; 10 to 30 seconds on CPU-only deployments
Deployment documentation
Case study
one2one AI Support Agent Platform
AI agents that answer customers from approved knowledge, measured on real questions.
Case study
AI-Powered Claim Verification System
Handwritten claim documents read and pre-screened by AI, with the examiner making the final decision.
Case study
eKYC and NID Verification
National ID cards read from phone photos, deployable inside a bank's own network.
Why Biznovelty
Grounded, not guessing.
Our agents answer from curated content. On the same real customer questions, that approach scored 4.44 out of 5 for accuracy against 3.96 for vector search.
Verified before personal.
Any action that touches personal data can require a one-time code to the customer's registered phone or email first.
Built for English and Bangla.
Each message is classified as English, Bangla, or Bangla typed in Latin letters, and the agent answers with instructions written for that language, not machine translation.
Assistive where it should be.
Our claims AI recommends and shows its evidence; the examiner decides.
Engagement & pricing
Start with one job
One agent or one document process first, then add more on the same foundation.
Platform or custom
Agents on one2one are set up on our platform. Custom automations are priced as projects.
Run it with us
Monitoring, evaluation, and tuning under Managed Services & Support.
Quoted after a scoping call
Every agent or automation is priced after a scoping call.
Frequently asked questions
Answer product, pricing, and procedure questions; check an order, claim, booking, or application status after verifying the customer; create a ticket, book an appointment, or submit a request through your APIs; collect lead details; and hand over to a person with the full context.
Describe the work you want an agent to do
Tell us who it serves and what it should be able to do. For customer agents, we can configure a working agent on a sample of your content and show it to you.