ZovraLabs
Build practice

AI Agents & Automation

Agents and copilots that do real work: safely, measurably, in production.

We engineer AI agents, copilots and LLM-powered workflows that take on research, triage, drafting and decision support inside your systems. Built with retrieval over your data, evaluation suites, human-in-the-loop controls and full audit trails.

Built by Zovra Labs
ABAO
Agent activityLIVE
Researched 14 accounts for Q4 territory plan
Updated 38 contact records from email signatures
Flagged renewal risk · Tessera (usage −32%)Review
Drafting QBR deck for Monarch & Co

6 wks

From kickoff to first agent in production

98%

Accuracy on evaluated agent tasks

64%

Of inbound work auto-triaged in production

6 wks

From kickoff to first agent in production

98%

Accuracy on evaluated agent tasks

What we deliver

Everything you need, engineered end to end

What a typical AI Agents engagement with Zovra Labs includes. We scope each piece to your goals, so you only pay for what moves the needle.

01

Agent design

Task decomposition, tool design and autonomy levels matched to risk.

02

Retrieval (RAG)

Secure retrieval over documents, tickets and databases with permissions respected.

03

Copilots in your apps

Assistants embedded in the tools your teams already use.

04

Evaluation & guardrails

Automated evals, red-teaming, PII redaction and policy checks.

05

Human-in-the-loop

Approval flows and escalation so people stay in control.

06

LLMOps

Monitoring, cost controls, model routing and versioned prompts.

Tools we use

The right stack for the job, never a default

A typical AI Agents build draws on these. We're model-agnostic and cloud-fluent, and we fit what you already run.

Explore our full stack
  • Anthropic Claude
  • ABAmazon Bedrock
  • AOAzure OpenAI
  • VAVertex AI
  • LangChain
  • Qdrant
How we deliver

From first workshop to production

Four phases, one senior team throughout. You see working software every week and a production release within weeks, not quarters.

  1. 01
    1–2 weeks

    Identify

    Pick high-value, well-bounded tasks and define success metrics.

  2. 02
    2 weeks

    Prototype

    A working agent on real data with a baseline eval suite.

  3. 03
    2–4 weeks

    Harden

    Guardrails, integrations, approvals and load testing.

  4. 04
    Ongoing

    Operate

    Monitor quality and cost, expand scope as trust grows.

Ways to work with us

Start small, or go all in

Every engagement is led by senior people, priced transparently and designed to get working software in front of users fast.

Option 014 weeks

Agent sprint

One production-ready agent for a defined task.

  • Fixed scope and fixed price
  • Senior lead from day one
  • A clear go / no-go at the end
Most chosen3–6 months

Automation program

A portfolio of agents across a function.

  • A dedicated, senior squad
  • Weekly demos, fortnightly releases
  • Transparent burn-up and budget
Option 036+ months

AI platform build

Your internal platform for building agents at scale.

  • A long-term roadmap partner
  • KPIs reported every two weeks
  • Capacity that flexes with you
FAQ

Questions we often hear

Straight answers about AI Agents with Zovra Labs. Something else on your mind? Ask us directly.

projects@zovralabs.com

We are model-agnostic (Claude, GPT, Gemini, Mistral and open-weight models) and choose per task on quality, cost, latency and data-residency needs.

Let's build your edge.

Tell us what you're trying to achieve. Within a week you'll have a scoped plan, an architecture and a fixed-price first release.