Rajipo / Engineering
Agents that do the work. Engineering that keeps them honest.
Tool-using agents, multi-agent orchestration, retrieval, guardrails and evals — built with the discipline of people who deploy into regulated, high-stakes environments.
What agentic means here
Answering was step one. Acting is the job.
An agentic system doesn’t stop at a reply. It plans, calls tools, checks its own output against policy, and finishes the task — booking the slot, filing the note, updating the record — or hands off to a human when it shouldn’t decide alone. That last part is engineering, not prompting.
- Plan → act → verify
- Governed tool access
- Human handoff built in
09:41:02 intake.agent → call answered · caller wants to reschedule
09:41:04 scheduler.agent → 3 open slots found · proposing Tue 10:20
09:41:05 guardrail.phi → 2 fields redacted before logging
09:41:07 calendar.tool → appointment moved · confirmation queued
09:41:08 reviewer.agent → action checked against policy · approved
09:41:09 trace.audit → full reasoning trail stored
overnight eval.suite → 41 cases replayed · all within threshold
Agentic patterns
Six shapes of agent we deploy.
Different problems want different agents. These are the shapes we build again and again.
01
Copilots & assistants
Grounded in your documents and data, citing their sources, escalating when they’re unsure instead of guessing.
02
Tool-using agents
Agents that act — book, file, update, order — through governed APIs, with least-privilege access and an audit trail per action.
03
Multi-agent orchestration
Planner–worker–reviewer teams that split complex work, check each other’s output, and only then act.
04
Human-in-the-loop flows
Approval gates where stakes demand judgment: the agent prepares everything, a person makes the call.
05
Voice-native agents
The phone line as an interface — speech in, action out, warm handoff to a human the moment it matters.
06
Background agents
Document pipelines and batch work that run all night — triaging, summarising, reconciling — and report in the morning.
The agentic stack
Six layers between a model and work you can trust.
L1
Models
The right model per task — frontier models where reasoning matters, small local ones where privacy or cost does.
L2
Grounding & retrieval
Agents answer from your documents and data — your truth, not the internet’s — with citations kept.
L3
Tools & integrations
Governed connections into EHR, calendars, phones and databases. Least-privilege by default.
L4
Orchestration
Planning, delegation, retries and recovery — the choreography that turns model calls into finished work.
L5
Guardrails
Input and output checks, policy enforcement, PHI redaction, safe fallbacks and human handoff.
L6
Evals & observability
Eval suites gate every release; traces and monitoring follow every action after it. Reconstructable, always.
Engineering practices
How agents earn the right to act.
- Evals gate every release — agents ship when they pass your cases, not when the demo looks good
- Every action is traceable: what the agent saw, what it decided, why it acted
- Guardrails and fallbacks are designed before capability, never bolted on after
- Prompts, models and tools are versioned like code — rollback is one step
- Privacy by architecture: PHI redaction, role-based access, on-premise options
Where agents run
Wherever your constraints point — including the modest hardware a small clinic actually owns.
- Private cloud
- On-premise
- Hybrid
- Clinic-grade edge
Where to begin
Bring us the workflow. We’ll bring the agents — and the engineering that keeps them honest.
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