AI Services
AI for beverage distributors, applied by operators
We put AI to work inside the value stream, scoped to what your operation is ready for, with a person accountable for every output, and measured against what the work costs to staff today.
Who this page is for
Leadership deciding where to invest
What AI can and cannot do for a distributor, and what it costs.
Managers running the floor
What changes day to day, and how you’d know it worked.
The people who’ll build and own it
How to build safely inside your own systems.
What we believe
Four things we’ll say in the first meeting
AI is a tool, in a larger strategy
Understand what the business is trying to do, tools aside. Then ask the unglamorous question: would a report do this?
It’s only as good as the data you can give it
Readiness before ambition. Data, systems and process standardization decide what’s possible this year.
A person stays between the output and the money
Nothing writes to your system of record unattended. That’s a design rule, not a disclaimer.
Recurring beats ad hoc
The wins that pay for themselves save someone fifteen minutes every day, not an afternoon, once.
What we offer
Four services. One sequence.
Discovery decides what’s worth doing. Training moves the people. Agent development moves the systems. Advisory keeps all of it sequenced.
Training & Enablement
Leadership, managers and builders, three audiences, one operation.
Harnessed Agent Development
Agents that run inside guardrails, built with you or for you.
Advisory
An operator’s opinion on vendors, tools, policy and sequencing, delivered on a recurring block of hours, alongside everything above. Read more ↓
AI Discovery
An AI action plan you own
When the need warrants it, a standalone AI discovery goes deeper only where it matters, and comes back with scored opportunities and a sequenced plan your team can execute on its own.
Every idea gets a verdict: build, scope it, data work first, or park it. Nothing gets silently dropped.
Ride along
Part of every discovery. AI appears in the Summary of Findings as one initiative among the others.
Standalone AI discovery
Scoped engagement. Scored initiatives, an investment-versus-return read, and a dated plan.
What you leave with
Training & Enablement
Three audiences. One operation
AI training that lands is written for the room it’s delivered in. We run three tracks because a CFO, a warehouse manager and the person who’ll actually build the automation need different things, and adoption fails when any one of them is skipped.
Senior leadership
Where to invest, what to expect, how to govern it. The questions to ask a vendor, and the ones to ask your own team.
Operational managers
What changes on the floor and in the office, how to measure whether it worked, and how to keep usage from quietly dying after go-live.
Builders
The people in your building who will build and maintain what runs. Safe patterns, your systems, your data, so the capability stays with you.
Also part of enablement
An AI use policy and data guardrails written for your company, the rules people actually follow, not a binder.
Harnessed Agent Development
Agents with a controlled harness
A harnessed agent does a whole job, not a single question, inside limits we set with you: what it can see, what it can do, and who signs off before anything touches your books.
It stays in its lane
Only the data and the steps it’s been given. Nothing more.
A person signs off
Nothing reaches your customers, suppliers or system of record unattended.
Every run is on the record
Logged and reviewable, built to BDC’s security and compliance standards.
What gets built
Three ways to engage
We build and run it
You get the output; we own the upkeep.
We build it, you run it
Built in your environment, handed over with documentation and training.
Your team builds, we guide
We bring the patterns and the guardrails; your people do the building.
Advisory
An operator’s opinion, on your schedule
Most distributors don’t know what to ask about AI yet, and a vendor will never tell you not to buy its product. Advisory is a recurring block of hours where we bring the questions to you, on a status call, in a steering meeting, or when a quote lands on your desk.
Vendor and tool evaluation
Is this a job for AI, for a report, or for a rule? What’s it worth once the ideas that a dashboard would handle are set aside?
Policy and governance
An AI use policy, data classification and guardrails written for a distributor, reviewed as a living document.
Roadmap and sequencing
What comes first, what waits for data work, and what to stop doing.
Measuring what shipped
Utilization and output after go-live, so usage doesn’t quietly die while the invoice keeps coming.
A “no” on the first two usually means a report will do it, for a lot less.
Two ways to start
Most common
Let it ride along
AI comes up inside a discovery or a status call. One baseline question per functional area. Anything worth more gets its own session, no separate engagement needed to begin.
When you already know
Start with an AI discovery
You’ve got a specific build in mind, or a quote to evaluate. A scoped discovery produces the scored plan and the dates, then we build, hand off, or enable.
The rules we hold ourselves to first
Every agent and tool we build for a client is designed and checked against the same governing standards we run our own practice on.
A person owns every output
Nothing reaches your customers, suppliers or books without someone accountable.
Your data stays yours
Governed under our data policy. Never used to train shared models.
Secrets never live locally
Credentials in managed secret storage, not in code, not on a laptop.
Audited before it ships
Architecture, data handling and vendor choices checked against our standards.