veraqor
Microsoft “AI Apps on Microsoft Azure” Specialization
Veraqor · Agentic AI

From “everyone's talking about agents” to agents in production.

Most AI agents stall between a working demo and a production system nobody will approve. Veraqor's agentic practice takes you the whole way, find the agent worth building, build it on your data, and keep it live, safe and governed.

  • Find the opportunity — the agent worth building, scored on value and feasibility
  • Build agents that know your business — grounded in your data, inside your tenant
  • Keep them live and safe — monitored, secured against misuse, and measured
  • Nothing goes live ungoverned — tiered approvals, human sign-off, full audit
  • Built on the Microsoft platform — Azure AI Foundry, in your own cloud

Seven offerings, one path from idea to a production agent.

Start here

Not sure where agents fit?

Start with a two-week Agentic Workshop. We find the agent worth building and the path to production, before anyone writes code.

  • AI Readiness Assessment
  • Agentic Workshop
  • Roadmap & Business Case
Book a session

No slideware. You leave with a ranked use-case register.

The offering

Seven offerings. Three groups. One path to production.

Each offering answers a real question we hear from enterprises, and each one makes the next an easier yes. Take them in sequence, or start where you are.

Group 1 · Agentic Business Consulting
01

AI strategy & opportunity mapping

“Everyone is talking about agents and we have no idea where they would actually help.”

Find the agent opportunities worth building, score value against feasibility, and design the workflow, governance and the one to build first. Includes readiness, governance and CoE assessments.

Group 2 · Agentic Development & Integration
02

Architecture & model orchestration

“We built one agent and it works. The second cannot talk to it, and every new one starts from scratch.”

A platform where agents share context, tools and governance, and scale, instead of a pile of disconnected one-offs.

03

Data for AI services

“Our AI works on demo data and falls over on ours.”

Make your data reachable, clean and grounded, so the agent answers from your truth, not a plausible guess.

04

Agentic development

“We need an agent that knows our business, not a generic assistant.”

Build the agent itself, trained on your processes and data, scoped to a clear job, running inside your own tenant.

Group 3 · Agentic Managed Services
05

Deployment, ops & monitoring

“It went live and we do not know if it still works.”

Keep the agent live, watched and measured, with a value report that shows it is still doing its job.

06

Data for AI services — security

“What can this agent actually see, and what can it be talked into doing?”

Lock down what the agent can access, defend against prompt injection, and constrain its behavior, before it is a risk.

07

Agentic development — trust & oversight

“We built an agent, it works in a demo, and nobody will let it go live.”

Harden, tier, test and approve the agent, so it clears the room and goes to production, governed and signed off.

The path

Each step makes the next an easier yes

You don't buy all seven at once. You start where you are, and each offering unlocks the one after it.

1

Strategy

Name the agent worth building.

→
2

Data

Make it work on your data, not demo data.

→
3

Build

Build the agent that knows your business.

→
4

Trust

Harden and approve it for production.

→
5

Run

Keep it live, safe and measured.

The Agent Operating Framework

Agents you can actually let loose at work

Every agent we build runs inside one framework, so moving fast never means losing control.

Nothing goes live ungoverned.

The same operating framework behind every offering, from the first workshop to the production agent.

Tiered autonomyWhat the agent decides vs what a human approves, set per use case.
Human sign-offThe big calls stay with a named person, every time.
Full audit trailEvery action and decision logged, in your own tenant.
Least privilegeThe agent sees only what its job needs, and nothing more.
Injection defenseHardened against prompt injection and misuse before it ships.
Measured in productionA value report proves it is still doing its job.
Microsoft “AI Apps on Microsoft Azure” Specialization

Start with a workshop, not a slide deck.

Bring the problem. In two weeks we'll name the agent worth building and the path to get it into production, governed. Then we build it with you, on the Microsoft cloud.

Book an agentic workshop →