Operational AI
Your team is doing work the software should be doing.
Built by Berry is the operational AI firm — we ship the systems, the agents, and the training to run them. First working system in 30 to 60 days.
Best fit when ops is rebuilding records by hand, leadership cannot trust the numbers, or the AI you bought never made it past the early adopters. Industry does not matter. Operational complexity does.
Swarm Platform — shared memory for your AI. A fresh chat already knows the project. Now in closed beta.
See itWhat we ship
Swarm — our open-source agent orchestration framework for Laravel. The same package we use on every engagement.
See SwarmOne real workflow
Account onboarding
Before — Sales closes a deal. Ops spends time rebuilding the record, account by account, across CRM, billing, and onboarding tools.
After — One workflow handles the routine path end-to-end. Agents draft, route, and reconcile. Humans approve exceptions only.
Routine setup
Handled in one pass
Handoff errors
Routed, not lost
Data drift
Reconciled by default
What we mean by operational AI
AI that does the job. Where the job lives.
Operational AI is AI that actually shows up at work — embedded in the systems your team runs the operation on. Not floating in a chat window. Not stranded inside someone else's product.
It does the multi-step jobs your team handles by hand today. The kind that earns its keep in operating metrics, not pilot reports.
Example — workflow execution
Triage a support inbox the way your best agent would.
Read the ticket. Pull context from CRM and billing. Draft a response, attach the right account notes, and either send it or route it to the human who should see it. Logs every step. Learns the patterns your team already runs.
Example — embedded judgment
Flag the deal that needs ops review before it closes.
Watches every new opportunity for the patterns that historically caused onboarding chaos — odd contract terms, non-standard regions, missing data. Pings the right person before it becomes a Monday-morning fire.
The proof
We do not have a logo wall. We have the code — and a company that runs on it.
Instead of a blurred logo and a rounded-up percentage, here is proof you can actually check.
Customer zero
We run on it first.
Our own operation runs on these tools every day — agents on our real work, a shared memory layer keeping them in sync. Nothing reaches your production before it has held up in ours.
Open by default
The engine is public.
laravel-swarm is MIT and on GitHub — the same framework under every system we ship. Read it, run it, keep it. No black box, no lock-in.
No vanity metrics
We would rather under-claim.
When a number lands on this page, a client will have stood behind it and let us name it. Until then, we will not round a result up to fill a grid.
Check it yourself
What you actually get
Three things, done well.
01
Internal systems that run the operation
Custom internal tools, admin platforms, and workflow systems shaped around how your team actually works. The kind that replace the spreadsheet, not document it.
02
Operational AI agents in production
Agents that execute multi-step workflows — built on our open-source laravel-swarm framework. Auditable, reviewable, and tied to the metrics that matter.
03
Training so the team actually uses it
AI for the whole org, then department-by-department working sessions that turn the tools into daily practice. The most expensive AI is the kind nobody adopts.
How we work
Senior team. Direct access. No layers.
You work with the people building the system. Engagements scope tight, ship in weeks not quarters, and stay accountable to a real operating metric.
Full process →Week 1
Find the bottleneck
Sit with the team doing the work. Pick the workflow whose fix changes a real number.
Weeks 2–4
Ship the first system
Build the smallest end-to-end version that handles the common path in production.
Weeks 5–8
Cover the exceptions
Add the edge cases, the review console, and the agent steps that take the most painful work off the team.
Ongoing
Train the team, then exit
Department-level training, runbooks, and a clean handoff. We are not a permanent line item.
What we ship
The framework, in the open.
Anyone can claim AI competence. Few can point to the package powering it. Swarm is ours — a Laravel-native framework for agentic work, free, on GitHub, used on the agent builds we deliver.
Swarm — agent orchestration for Laravel
Multi-agent orchestration as a Laravel primitive. Define a swarm once, run it sync, queued, streamed, or as a durable workflow. Native to your stack. Auditable end-to-end.
composer require builtbyberry/laravel-swarmYour AI forgets the project every time the window closes.
Swarm Platform is the shared memory that survives the window — one place your chats, your agents, and your team all read from and write to. A fresh session opens already knowing what was decided, what the rules are, and where things stand.
01
Every session starts warm
A new chat pulls the project's canon before it answers. No brief to paste, no context to rebuild.
02
One memory, every agent
What one agent decides, the next one reads. Chats, agents, and teammates stop working blind to each other.
03
Agents write it, you steer it
The work captures its own decisions as records. You decide the channel, what gets shared, and what becomes canon.
Where to start
Three ways in.
You have a real problem
Scope a project.
Manual work, broken handoffs, or unadopted AI is already costing you. Bring the bottleneck — we will tell you whether it is a fit, what we would build, and what it would cost.
- — Direct conversation with Daniel.
- — No deck, no SDR, no pipeline drip.
You are exploring
Book a readiness call.
30 focused minutes on where AI would actually move your operation. Useful even if you do not engage us afterward.
- — Honest read on whether you are ready.
- — What would have to be true first.
You want to self-serve
Run the assessment.
Score one of your workflows on the five-layer Readiness Stack — Data, Process, People, Tools, Decision. Get a verdict and the weakest link to fix first. About three minutes.
- — Verdict: not yet, pilot, or build it.
- — Names the weakest link for you.
Just curious? Read the notes or try laravel-swarm on GitHub.
Operational AI Readiness Call
30 focused minutes on where AI would actually move your operation.
Bring the workflow you would automate, the team that would use it, and the cost of getting it wrong. We will tell you whether it is a real fit, what would have to be in place first, and whether Built by Berry is the right partner — or not.
- — Direct conversation with Daniel, not an SDR.
- — No deck. No pitch. No follow-up sequence if it is not a fit.
- — Useful even if you do not engage us afterward.