Telarron Inc

Managed Agentification

Get in touch → See the demos →

Managed agentification

We build AI agents around the work your team already does, then run, maintain and upgrade them for you. They stay yours. Keeping them working is our job.

A multiplier, not a replacement.

What we do

01

Managed agentification

Your agents, built around your real workflows. We build, run, monitor and upgrade them, so nobody on your team has to.

  • Agents that read the email, check the document and draft the reply, then hand your team a finished result to approve
  • Working in the systems you already use, starting with email and Microsoft 365
  • Watched, fixed and kept current by us, with the next workflow added when you are ready

02

AI foundations

The AI platform that fits how your company works: chosen with you, set up properly, and kept current by us.

  • A plain comparison of the options, and a clear recommendation
  • Security, data and access settings matched to your own policies
  • Connected to the tools your people already work in, so they actually use it

03

Training

Hands-on sessions where your team builds working agents of its own, not just watches demos.

  • Real systems shown running first, then laptops open
  • Every module ends with something your team built
  • How to pick the right tool for each job, and what to hand to us next

How we work

Yours to own. Ours to run.

The agents, the platform and the data stay yours, and so does every decision. Everything it takes to keep them working, for as long as you use them, is on us.

  1. Build

    We learn how the work really happens, and build around it.

  2. Run

    We operate it day to day, in the tools your team uses.

  3. Monitor

    We watch every run, and step in when something looks off.

  4. Maintain

    We fix it when your work or your systems change.

  5. Upgrade

    We move it onto better models as they arrive.

  6. Evolve

    We add the next workflow when you are ready.

Where we are

Two continents, six cities.

  • San Francisco
  • Denver
  • New York
  • London
  • Munich
  • Prague

Get started

Start with one workflow.

Tell us where the repeatable work is. We will show you what an agent could do with it, and take care of everything after that.

Get in touch See the demos

01 · Managed agentification

Your agents. Our job to keep them working.

We start from one workflow your team does every week and build an agent for the repeatable part of it. It works in your tools, on your work, for your team. Keeping it working well, week after week, is on us.

Where it lives

Your company Your team Email Documents Microsoft 365 Your agent The service Telarron Build Run Monitor Fix Upgrade

The agent works inside your company, in your tools, for your team. We look after it from outside.

One task, start to finish

Not yet? Back with a note Yes Request comes in Agent reads, checks, drafts Your team decides Done, and on record We watch every run, and step in when something looks off

Nothing that matters goes out until your team says yes.

When the work changes

Steady weeks The work changes a new form, a new rule We notice We fix and test it Back on track

Forms change, rules change, better models arrive. Keeping up is our job, not your team's.

Who does what

Yours

  • The agents, and the work and data they handle
  • Deciding which work they take on
  • Approving what matters

Ours

  • Designing and building them
  • Running them day to day
  • Monitoring, fixing and maintaining them
  • Upgrading them as better models arrive
  • Adding the next workflow when you are ready

Built to take repeatable work off your team, not to replace it.

Where teams start

Talk to us See a live demo

02 · AI foundations

Your platform, chosen well and kept current.

Before agents, your people need a good AI workspace: one that fits how the company works and that your security team is comfortable with. We help you choose it, set it up to your policies and roll it out, then keep it current so nobody inside has to.

Choosing it, with you making the call

Your work Your security Your tools We recommend Many options on the market Compared against your needs A shortlist, with our advice Your call, your platform

We are not tied to one AI provider. We do the comparing; the decision stays yours.

The setup, layer by layer

Yours What we do Your people The tools they already use Your AI workspace Your security and access rules Rolled out, so it gets used Connected to it Set up and configured Set to your policies

Kept current as the platforms change

The platforms keep changing New feature Better model Changed setting New add-on We review, test and fold in what helps Your workspace, current over time

Your team keeps working; we chase the changes and check the bigger ones with you.

Who does what

Yours

  • The platform, the accounts and your data
  • The final call on what to choose
  • Your policies and who gets access

Ours

  • Comparing the options plainly, with a clear recommendation
  • Setting it up to your policies, and connecting your tools
  • The rollout, so people actually use it
  • Keeping it current as the platforms change

We recommend what fits your work, and say so when something better arrives.

Talk to us

03 · Training

Your team builds, not just watches.

Hands-on sessions with your team. First we show real systems running. Then everyone opens a laptop and builds a working agent of their own. Your people leave knowing what is possible, what they can build themselves, and what to hand to us to build and run.

From watching to building

First Watch real systems run Then Build one yourselves

What your team leaves with

Your team built Sorts my inbox Preps my meetings Drafts my replies A bigger idea Handed to us Across teams, every day We build and run it, for you It stays yours

They also leave with a clear picture of where AI fits their work, and a short list of what to hand to us next.

Who does what

Yours

  • Your team's time, and the work they bring
  • The agents they build, to keep using
  • Which ideas to take further

Ours

  • The sessions, the material and the setup
  • Real systems to learn from
  • Building and running the bigger ideas, when you want us to
Ask about training