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Claude skills & agents · built on Databricks

Anyone can demo an agent.
We make them survive production.

Claudebricks is a services firm that designs, builds and operates Claude-powered skills and agent fleets on the Databricks platform. Your agents inherit governed data, business context and cost control from day one, instead of scaffolding bolted on after the pilot impresses an executive and then breaks in the real workflow.

Book a discovery call Why agent pilots stall →
Skills, not promptsProcedures captured as reusable, versioned Claude skills
Fleet-readyMulti-agent workflows with evaluation and tracing built in
Governed by designUnity Catalog permissions, lineage and audit on every agent
One invoiceFixed-fee builds, flat monthly operations
The last-mile problem

Enterprise AI doesn't fail at the demo. It fails at scale.

The pattern repeats across industries: an agent shines in a supervised pilot, then stumbles the moment it's expected to work across real workflows. The model was never the problem: the operating layer around it was missing.

Scaffolding

Every team rebuilds the same plumbing

Identity, data access, orchestration, evaluation, rebuilt per project, per framework. On paper you have a fleet of agents; in practice, isolated experiments that can't be composed or governed.

Context

Agents don't know your business

They miss the key clause, join the wrong tables, pick the wrong tool, not because the model can't reason, but because your semantics live in hundreds of unintegrated silos.

Governance

Oversight arrives after the incident

Gartner projects that by 2027, 40% of enterprises will demote or decommission autonomous agents because governance gaps surfaced only in production. Guardrails have to be the starting point.

What we build

From one good skill to a governed fleet.

We work hands-on, as builders, not slideware. Everything we ship runs on your Databricks workspace and is yours to keep.

01 · Claude skills

Skill & tool engineering

Your team's best procedures (closing the books, triaging claims, reviewing contracts) captured as versioned Claude skills and MCP tools that any agent in the fleet can reuse. Tested, documented, maintained.

02 · Agent fleets

Multi-agent workflow buildout

Document analysis, retrieval, synthesis and action agents composed into auditable workflows on Databricks Agent Bricks, with evaluation suites and traces from the first commit, so quality is measured, not vibes.

03 · Grounded context

Lakehouse context engineering

One governed view of your business (ontology, semantics, document intelligence and memory on the lakehouse) so every agent answers from the same source of truth instead of its own hand-wired retrieval pipeline.

04 · Fleet operations

Run, watch, optimize

We operate the fleet: budgets and hard spend caps, permission reviews, guardrail tuning, model routing and monthly evaluation reports. Adding an agent should increase visibility, not uncertainty.

Why Claude on Databricks

Choice. Context. Control.

We pair the frontier model family we know best with the platform built to run agents as an enterprise system, and we don't lock you in to either.

Choice

Claude for reasoning depth; governed model endpoints behind a common interface so harnesses, models and vendors can be swapped on evidence, cost-quality tradeoffs, not lock-in.

Context

Agents grounded in lakehouse data and shared business semantics answer dramatically more accurately than generic RAG, the gap between a clever demo and a colleague you trust.

Control

Every agent, tool and model registered with shared permissions, lineage, budgets and audit. One place to see what agents did, what it cost, and whether it was policy-compliant.

“The question stops being whether an agent can answer a question, and becomes whether your organization can let that agent participate in real work, at scale, safely.” the thesis we build against
How we engage

Start with one workflow. Earn the fleet.

1

Pilot: one workflow, 30 days

We pick a single high-value, well-understood process and ship a working Claude agent on your Databricks workspace: skills, context grounding, evaluation suite and guardrails included. You see it run on your data, with your policies.

fixed fee · scoped in the discovery call
2

Fleet buildout

The pilot's skills, tools and context layer become shared assets. We compose them into multi-agent workflows across adjacent processes, same guardrails, same semantics, no re-plumbing.

per-workflow fixed fee
3

Managed operations

We run what we built: monitoring, evaluations, budget and permission reviews, model upgrades. You get a monthly report in business terms (outcomes, costs, incidents), not a dashboard to babysit.

flat monthly · cancel anytime
Talk to us

Bring us the workflow that should have been automated a year ago.

Thirty minutes. We'll tell you honestly whether an agent belongs there, what it would take to run it safely, and what it would cost.

Book a discovery call