Operational AI

Operational AI agents. Shipped, maintained, and cost-controlled.

Nurami Tech builds AI agents that do real work inside your systems—triage, drafting, routing, and review—without turning your team into part-time model operators.

You get outcomes. We handle the machinery: tool selection, integrations, hosting, monitoring, and updates.

  • Reliability
  • Performance
  • Instrumentation

What “operational” means

  • Runs in your environment (or ours), connected to the tools you already use
  • Designed for edge cases, not just happy-path demos
  • Controlled: permissions, approvals, and clear “stop” conditions
  • Observable: logs, evaluations, and traceable actions
  • Maintainable: updates don’t turn into a quarterly fire drill

What we do

We design, build, and operate production-grade agent systems that improve day-to-day operations. Not demos. Not “AI for AI’s sake.” Systems that hold up when inputs are messy and the edge cases show up.

Typical outcomes

  • Less manual work and fewer handoffs
  • Faster turnaround times
  • More consistent outputs
  • Clear visibility into performance and cost

Where agents fit

Inbox triage, request routing, structured extraction, drafting, review loops, and “last mile” actions inside your existing tools.

PROMPT
Given a new request, classify → route → draft → request approval.
If confidence < threshold: escalate with context.

Why Nurami

Results first. Tooling second.

We’re not married to one model or vendor. We pick what works for your workflow based on reliability, total cost, latency, and maintainability.

Sometimes the right answer is a smaller model. Sometimes it’s a rules step before a model call. Sometimes it’s no model at all. The goal is ROI.

Predictable costs (no surprises)

Agent systems can bleed money quietly. We build with explicit guardrails:

  • budgets and usage caps
  • routing (cheap when possible, strong when necessary)
  • caching and batching where it matters
  • monitoring that makes spend explainable

Maintenance is part of the product

The AI stack changes constantly—models, APIs, pricing, and behavior. We stay on top of it so you don’t have to.

That means ongoing updates, compatibility fixes, quality checks, drift control, security reviews, and improvements as better tools become available.

How we work

  1. 1

    Define the job

    We map the workflow, success criteria, failure modes, and access boundaries.

  2. 2

    Build a working pilot

    A real slice that runs end-to-end with real inputs.

  3. 3

    Instrument + tune

    We measure quality, latency, and cost. Then iterate with evidence.

  4. 4

    Deploy with controls

    Least privilege, approvals where needed, audit trails, and safe fallbacks.

  5. 5

    Operate and improve

    Monitoring, updates, and ongoing optimization as your tools and requirements evolve.

The Bridge

One process that’s slowing your team down → one agent with clear boundaries → measurable wins.

Book a call

About

Who we are

Nurami Tech is an engineering-led team focused on deploying agents that work under real-world conditions—unclear inputs, changing tools, strict access controls, and the occasional weird edge case.

We’re opinionated about the fundamentals:

  • reliability beats novelty
  • measurable quality beats vibes
  • ownership beats handoff

Security

Built with boundaries from day one. Security isn’t a “phase.” It’s part of the build.

Typical controls

  • Least-privilege access (read-only where possible)
  • Separation of duties (draft vs send, suggest vs execute)
  • Data minimization and clear retention rules
  • Auditability: logs of actions and traceable outputs
  • Human review for sensitive or high-impact steps

Compliance-friendly

If you have specific requirements (SOC 2, internal vendor review, compliance constraints), we’ll align the implementation and documentation to your process.

MODE draft-and-approve
LOGS traceable actions
DATA minimized retention

Book a call

Tell us what you want the agent to own, which tools it touches, and what constraints matter (security, latency, budget, compliance). We’ll come back with a concrete plan: what we’d ship first, how we’ll measure it, and what it costs to run.

Quick brief

  • Process to automate
  • Tools to integrate
  • Approvals / “stop” conditions
  • Latency + budget constraints

FAQ

Do you replace our team?

No. We remove repetitive work and give people cleaner context and better first drafts.

Do agents send messages automatically?

They can, but we usually start with draft-and-approve. If auto-send is required, we add tighter rules and monitoring.

How long does it take to launch?

A pilot can be live quickly once scope and access are clear. Then we tune based on real usage.

Do we have to pick a model up front?

No. We’ll recommend an approach, keep it flexible, and adjust as better options appear.