Skip to content

Our work

See the work behind the promise.

A client implementation and examples from businesses we operate. Each has a specific purpose, a defined scope and people responsible for the work.

Client implementation / 101

He had a plan from Claude. He needed to know it would work.

Ryan Cockerill, Founder and Managing Partner of 101 Net Lease, had worked with Claude on a plan for his business and its data. Before investing more time implementing it, he needed experienced people to assess whether the approach would work in practice—and then deliver a working system.

We reviewed the plan against what his business actually needed. We kept the parts that made sense, replaced the parts that did not, and made the implementation decisions needed to turn it into a working system. Our role combined technical judgment with hands-on delivery.

The result is a live Microsoft Azure data foundation: incoming exports are received, validated and imported into Azure SQL, with alerts for missing deliveries and failed imports. Ryan has a working foundation for his AI workflows, with the plan evaluated and adapted along the way.

“I really enjoyed working with beAIfirst. We wanted AI to work with our own deal data, and they turned that goal into infrastructure built around our business. They built the ingestion pipeline and database that our agents could work from. For us, becoming AI-first meant putting that foundation in place—and beAIfirst delivered it.”
Ryan Cockerill

Ryan Cockerill

Founder and Managing Partner, 101 Net Lease

Meet the client

Built around the firm’s own deal flow

  1. 01 / RECEIVE

    Exports arrive privately

    External data exports land in Azure Blob Storage; a completion marker signals that delivery is ready

  2. 02 / CHECK & IMPORT

    Validate, then import

    Download the export, check its manifest, row count, schema version and checksum, then call the ingest service

  3. 03 / STORE & MONITOR

    Data ready for the next layer

    Write to Azure SQL, with alerts for missing deliveries and failed imports

Live workflow for 101, simplified for clarity. The database provides the foundation for agent access; client records are not shown.

A practical foundation for an agent-first business

The data movement follows defined rules. The platform choices also considered how agents would access the information through command-line or MCP options, alongside Microsoft 365 integrations. That separates the dependable data foundation from the AI workflows built on top.

What is running today

From a provider’s export to a usable database.

A complete import workflow

  1. External data exports arrive in a private Azure Blob container.
  2. Event Grid detects the _SUCCESS.json completion marker. An Azure Function records the export metadata.
  3. The completed export is downloaded automatically. Its manifest, row count, schema version and checksum are validated.
  4. The workflow calls the ingest service and writes the data into the live 101co Azure SQL database and relational schema.
  5. Automated alerts flag missing deliveries and failed imports.

Established services, chosen for the job

Azure SQL Database
Serverless General Purpose tier, with the firm’s full relational schema.
Azure Blob Storage
Private file delivery from the external data system.
Event Grid + Azure Functions
Export-arrival detection and metadata recording.
Log Analytics + Application Insights
Logging and application monitoring for the data foundation.

The value was in deciding what should be built as well as building it. Ryan could use AI to explore possibilities; we brought implementation experience to assess those possibilities, revise the approach and put the chosen system into operation.

Founder-owned implementations

What we use in our own businesses.

These examples show how we apply AI in businesses we operate. They are separate from external client engagements.

The public PurposeLife assessment entry screen on a phone

Actual assessment entry screen, captured September 11, 2026. This is one part of the wider AI coaching system. Select to enlarge.

Founder-owned work / PurposeLife

From a paper-based coaching method to a complete AI coaching system.

PurposeLife turns a process previously delivered through paper exercises and a human coach into an AI-first coaching system. An AI coach guides people through a structured journey: discovering their passions, exploring directions and building a plan they can act on.

For a business with its own expertise or methodology, this is the opportunity: turn what you know into a service people can use through AI.

Explore the AI coaching system →

Crowdfunding operations

Invown

A crowdfunding investment platform for all types of crowdfunding. AI supports research, communication drafting and follow-up workflows.

The human role

The team reviews investor communications and remains responsible for relationships, negotiations and investment decisions.

Inquiry and leasing workflows

Rental operations

AI support for incoming rental inquiries, information collection and showing coordination.

The human role

People remain responsible for applicant decisions, lease agreements, maintenance and situations requiring individual judgment.

AI-guided business assessment

beAIfirst

The assessment on this website gathers information about a business and prepares a first-pass map of potential AI opportunities.

The human role

Recommendations depend on the information provided. The business and implementation team need to validate the opportunity and scope any work.

Explore the assessment

Start a conversation

You have a business to run. Let’s talk about what AI could help it become.

Tell us what you want to achieve and what needs to be true for it to work—your budget, your data requirements, your existing systems or your team’s capacity.

Discuss your AI project

We’ll discuss whether we’re the right team to help and what a sensible next step could look like.

Privacy & cookies·