Secure chat agents
Citation-grounded, policy-validated chat agents for patient triage, retail support, billing questions, and internal knowledge — with audit trails and human escalation built in.
Learn more ↗Secure AI agents for regulated teams
Orchestrate your
intelligent
advantage.
Orditia designs and ships secure AI chat and voice agents for healthcare, retail, and billing — with real guardrails, HIPAA-aligned architectures, and India-first data residency. Human-in-the-loop, audit-ready, built to operate under real-world regulation.
Built on
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- HIPAA-aligned
- DPDP Act 2023
- OWASP LLM Top 10
- NIST AI RMF
Healthcare · Patient intake
PHi, I need to reschedule Dr. Patel's Thursday appointment.
OI can help. Your Thursday 2 pm follow-up — what time works better?
PII detected · NAME redacted before LLM · DOB tokenized
PCan you do next Monday at 10 am instead?
OBooked. Confirmation SMS on the way. A nurse will call if any pre-visit info is needed.
scheduleAppointment(...)✓ tool-use allowed
What we do
Ship secure AI agents,
end-to-end.
We build production-grade chat and voice agents on top of a guardrails-first foundation, then embed the capability so your team can extend it.
Voice agents
Low-latency voice agents for appointment scheduling, prior-authorization calls, order status, and collections — with barge-in, sentiment routing, and warm handoff to human agents.
Learn more ↗Guardrails & safety
PII redaction, prompt-injection defense, output validation, tool-use allowlists, red-team evaluation, and audit logging — the operational layer every regulated agent needs.
Learn more ↗Legacy, made intelligent
Extend what already works. We layer secure AI capabilities onto mature products and services — without a risky rebuild or a blank-slate fantasy.
Learn more ↗Applied AI platforms
Retrieval-augmented generation, intelligent orchestration, and evaluation pipelines — durable foundations your next ten ideas can stand on.
Learn more ↗Team enablement & training
Workshops and embedded coaching that leave your team able to extend, maintain, and trust what we build together.
Learn more ↗Security & compliance
Guardrails first.
Not guardrails eventually.
Regulated industries need agents that are auditable on day one. We build against named standards and cite the source — not the marketing brochure.
HIPAA-aligned architecture
Minimum-necessary access, encryption in transit & at rest, tenant isolation, and audit trails per HHS Security Rule §164.312. BAAs with LLM providers where PHI is in scope.
HHS HIPAA Security Rule ↗DPDP Act & GDPR ready
India-first data residency in AWS ap-south-1 or Azure Central India. Purpose limitation, consent capture, and Data Principal rights workflows aligned to India's Digital Personal Data Protection Act, 2023.
MeitY DPDP Act ↗OWASP LLM Top 10 & NIST AI RMF
Prompt-injection defense, output validators, tool-use allowlists, jailbreak red-teaming, and continuous evaluation — mapped explicitly to OWASP's LLM risk catalogue and the NIST AI Risk Management Framework.
OWASP LLM Top 10 ↗ NIST AI RMF ↗SOC 2 & ISO 27001 principles
Access reviews, change management, incident response, and vendor risk aligned to SOC 2 Trust Services Criteria and ISO/IEC 27001 controls.
AICPA SOC 2 ↗ ISO/IEC 27001 ↗PCI-DSS aware billing flows
For agents that touch cardholder data or payment status: tokenized handling, scoped tool access, and clear boundaries between agent and PSP — designed to keep clients out of unnecessary PCI scope.
PCI SSC ↗No training on your data
Client data is never used to train or fine-tune shared models. Fine-tuning, when it happens, runs on isolated tenants and the resulting weights belong to the client. Bring-your-own-model-key is supported end-to-end.
Who we build for
Regulated verticals,
real outcomes.
We pick industries where the cost of a wrong AI answer is real — and where a well-designed guardrail changes what's possible.
Healthcare & life sciences
- Patient intake & triage voice agents
- Appointment scheduling & reminder calls
- Prior-authorization automation
- Clinical documentation copilots
- Claims triage & denials management
HIPAA-aligned. BAAs available with covered LLM providers.
Retail & ecommerce
- Product-catalog RAG chat
- Order-status voice agents
- Personalized shopping assistants
- Returns & refunds triage
- Post-purchase support automation
Multilingual (English, Spanish, Hindi, Arabic, French, and more).
Billing & fintech
- Invoice-question chat agents
- Payment dispute triage
- Collections outreach with sentiment routing
- Reconciliation copilots
- KYC assistance workflows
PCI-DSS aware. Designed to minimize cardholder-data scope.
The transformation
Keep the signal.
Lose the friction.
Modernization does not mean starting over. It means giving your existing intelligence a way to compound.
Your foundation
01Products & services
02Tribal knowledge
03Operational data
Orditia layer
✦Context engine
✦Agentic workflows
✦Guardrails & observability
What changes
→Faster decisions
→Auditable AI actions
→Compounding value
How we ship
From frame to
live, six honest steps.
Every engagement follows the same rhythm: start small, prove it under load, and hand your team a system it can run without us. Hover to pause.
Align on the outcome that matters.
Before a line of code: which workflow, which constraint, which success metric. We map the compliance surface (HIPAA, DPDP, PCI where relevant) and the human escalation path.
- → Discovery workshop
- → Compliance & data-flow inventory
- → One-page engagement brief
Draw the architecture before we build it.
Retrieval strategy, guardrail placement, tool allowlist, threat model, audit-log schema. The BAAs get sourced now, not the week before launch.
- → Reference architecture & sequence diagrams
- → Threat model (mapped to OWASP LLM Top 10)
- → Tool-use policy & audit-log schema
Ship the smallest useful agent — with guardrails on day one.
PII redaction, output validator, groundedness scoring, and the escalation trap are in the first build — not bolted on later. Everything is deployed in your VPC.
- → Working agent in staging
- → Guardrail suite active (input + output)
- → Append-only audit log capturing
Red-team it before your users find it.
Prompt-injection replay, jailbreak persuasion, cross-tenant probes, tool-abuse tests. We report the score and the fixes — not just the score.
- → Prompt-injection replay report
- → Groundedness threshold set & enforced
- → Escalation trap reachability verified
Small, live, monitored — and honestly measured.
A bounded pilot with defined KPIs, a weekly evaluation cadence, and a rollback plan. The success bar is agreed before we start, not after.
- → Bounded live pilot with real users
- → Weekly eval report (groundedness · SLA · CSAT)
- → Documented rollback playbook
Hand over a system your team can run.
Observability, ownership, runbooks, and an enablement track so your engineers extend the agent themselves. We leave with fewer secrets in our heads than when we arrived.
- → Ownership handover & runbook
- → Observability dashboards live
- → Team enablement completed
0×faster time to insight
0%less manual triage
0wkto a working pilot
Illustrative outcomes from comparable engagements. Actual results depend on context.
The exploration lab
Problems worth
solving next.
We’re early, curious, and building toward the right partnerships. Here are the kinds of opportunities we’re excited to explore with forward-looking teams.
Knowledge systems
↗Make knowledge useful
Connect scattered documentation and operational expertise with retrieval-augmented answers your team can trust.
Workflow intelligence
↗Modernize the queue
Use agentic workflows to triage, summarize, route, and escalate repetitive work while people stay in control.
Product evolution
↗Upgrade what exists
Add intelligent features to a valuable legacy product without throwing away the foundation that made it work.
Enablement
↗Upskill internal teams
Workshops and embedded coaching that help internal teams own, extend, and trust AI systems long after handover.
Frequently asked
What buyers ask us
before the first call.
Straight answers to the questions procurement, security, and clinical review typically raise. If yours isn't here, ask — we'll write it up.
How do you handle PHI and other sensitive customer data?
We build HIPAA-aligned architectures with minimum-necessary access, encryption in transit and at rest, tenant-isolated storage, and audit trails per the HHS Security Rule §164.312. Where LLM providers process PHI, we require signed Business Associate Agreements and route data only through BAA-covered endpoints.
Which LLM providers do you use, and can we bring our own?
We're model-agnostic. Common deployments run on Amazon Bedrock, Azure OpenAI, and Google Vertex AI — all of which support BAAs and in-region processing. Clients can bring their own API keys, private endpoints, or self-hosted open-weight models; the guardrails layer is the same either way.
How do you prevent hallucinations?
Every agent response is grounded in retrieval from an authoritative knowledge source, validated against a policy schema before it reaches the user, and — for high-stakes decisions — routed through a human-in-the-loop reviewer. We measure and report groundedness scores as part of every engagement.
How do you defend against prompt injection and jailbreaks?
We apply the OWASP Top 10 for LLM Applications: separated trusted vs. untrusted context, tool-use allowlists, output validators, red-team evaluation, and rate-limits on sensitive tools. Guardrails run before every model call and before every downstream action.
Where is data processed and stored?
India-first by default: AWS ap-south-1 (Mumbai) or Azure Central India. For clients with US or EU footprints we deploy in-region (us-east-1, eu-west-1, etc.) to satisfy DPDP Act 2023, GDPR, and HIPAA data-residency requirements.
Do you train models on our data?
No. Client data is never used to train or fine-tune shared models. Any fine-tuning is done on isolated tenants using only that client's data, and the resulting weights are owned by the client.
Your next useful thing
Let’s make the
complicated clear.
Bring us the knotty problem, the legacy system, or the idea that has not found its moment yet.
Contact us ↗