Skip to content

For managed service providers

Bring AI implementation
into your service offering.

Add an embedded AI Operator or Engineer to build the workflows, integrations, and internal tools behind your AI capability. Start with a concrete use case and a person accountable for the work.

From client demand to delivery

AI work needs someone who can carry it forward.

Clients are asking what AI can do in their businesses. Building that capability takes someone who can understand the operation, translate the problem, and implement a working system.

Improve your own operation

Start with an internal workflow: recurring reporting, sales handoffs, project coordination, or the systems your team uses to deliver.

Build implementation capacity

Add a practitioner who can turn defined requirements into automations, integrations, software, and AI systems alongside your team.

Make repeatable work usable

Document the process, clarify human review, and work through adoption. Carry the lessons into the next implementation.

A practical starting point

One use case.
A defined owner.

Choose an internal priority or a scoped piece of client work. Agree on responsibility, access, review, and the result the implementation needs to support.

Understand the workflow

Map the people, systems, records, and handoffs involved before deciding what to automate.

Build within the agreed scope

Your embedded practitioner works with your team on implementation and the technical or operational decisions assigned to the role.

Put it into use

Test the work, document how it runs, and help the team adopt it. Use the result to decide what to tackle next.

Choose the role for the work

AI Operators and Engineers.
Built into your team.

Every engagement is backed by senior 3rd Brain leadership and our vetted specialist network. Combine the roles as your needs grow.

AI Operator

Turn recurring work into reliable systems.

An AI-native operations specialist embedded in your team to improve workflows and own adoption.

  • Map and standardize how work gets done
  • Build automations and deploy AI tools
  • Train your team and track operational results

From $3K/month

Explore AI Operators →

AI Engineer

Build the software your business needs.

An AI-native engineer embedded in your team to own technical implementation and ongoing development.

  • Build internal tools, software, and AI agents
  • Connect systems and organize business data
  • Maintain and improve production systems

From $8K/month

Explore AI Engineers →
90-day fit guarantee

If your embedded team member isn't the right match, we replace them. There is never a replacement fee.

Related implementation experience

Software and workflows
we've put into use.

These examples come from software and real estate businesses. They show the implementation work behind our approach.

3 weeks

from contract to working platform

Software platform · 175 subscribing customer organizations

A working SaaS platform without the original source code

One AI-native developer rebuilt an aging platform from its database backup and product requirements, then migrated the legacy data.

Read the case study
200+

parcels processed each month by three VAs

Real estate acquisitions company

A property pipeline with every stage accounted for

A staged due-diligence pipeline and AI-assisted listing generation connected property intake to resale.

Read the case study

Before you start

Scope the role around your business.

Can we start with our own internal systems?

Yes. An internal workflow or tool gives your team a concrete place to begin working with an embedded Operator or Engineer.

Can they support work for our clients?

We can discuss embedding a practitioner to support your delivery team. Client access, oversight, responsibility, and commercial terms are defined for the engagement.

Who directs the work?

That is established before the engagement starts. Your team sets business priorities, and we agree on the embedded role's responsibilities and the senior support the work requires.

Let's talk about the work

What AI work is your team being asked to deliver?

Bring an internal bottleneck or a client use case. Let's define the capability and role you need.

Book a strategy call