Baylake implements agents, process automation, and system integration that transform serious operations — connected to the systems you already use. No platform migration. No months of engineering. Results in production.
Domain-specific agents built on Claude Managed Agents, integrated via MCP to your existing systems — SAP, Salesforce, internal ERPs, Google Workspace. They observe, decide, and act with full auditability.
The boring middle layer nobody markets but every operation needs — at volumes that break n8n and Make and bankrupt SaaS subscriptions. Document parsing, reconciliation, classification, routing.
We connect your existing systems — ERP, CRM, databases, Google Workspace, SAP — to the agent stack without rewriting your infrastructure. MCP is the protocol; we are the team that knows how to implement it with governance, permissions, and audit from day one.
For operations whose volume or regulation requires processing to stay local. Designed, installed, and operated by Baylake when cloud math stops making sense — or when data should never have left in the first place.
Most AI implementers ignore what's underneath the software. We don't. With a background in structured cabling and small-to-mid data center planning, we diagnose whether the physical infrastructure supports what we're about to build — and specify what needs to change before a line of code is written. Projects requiring physical adequation receive complete technical specification and coordination with certified partners.
A bay is not the ocean.
It is the part of the ocean you can actually use — protected, navigable, surveyed. That is the posture we bring to AI.
The model layer is a commodity that swaps every six months. We build the surrounding infrastructure — pipelines, agents, evaluation, MCP servers, compute — that survives the swap.
Model changed? Perfect. Your MCP integration, your agents, your automation — none of it moves. That's what open protocols are for.
MCP is the first open standard that unified how AI agents connect to enterprise systems. Supported by Anthropic, OpenAI, Google, Microsoft, AWS. It is not a product feature — it is infrastructure.
It is what guarantees the system we build today still works when tomorrow's favorite model launches.
Every engagement starts with a discovery that may end with us telling you not to do it. That has happened. It will happen again.
The signature engagement is a quiet, durable system — not a press release. We measure success in cloud bills removed and analyst hours returned.
We map your operation, data flows, and the cloud line items that hurt most. Includes MCP-eligible system inventory — which data sources will yield the highest ROI when connected.
When applicable: physical infrastructure audit — network, cabling, server room — with technical spec for adequation before build.
Output: a written assessment with three options and our honest recommendation — including, sometimes, “don't do this yet.”
Architecture design. Model layer, agent topology, compute footprint, integration points.
MCP architecture: which servers to build, which to use off-the-shelf, scoped permissions per agent, governance and audit plan.
You receive diagrams an engineer can build from and a CFO can sign off on.
Build and deploy. Agents on Claude Managed Agents, integrated via MCP to your existing systems. Automation flows in production. On-prem cluster racked when relevant.
Shipped with monitoring, eval harness, runbooks, and MCP documentation your team owns.
Quarterly review and ongoing operation. Performance telemetry, cost tracking, model swaps, capacity tuning, MCP server updates.
We stay because the system needs us to — not because the contract says so.
Mid-market bank running fraud-scoring on a hyperscaler. We racked a four-node on-prem cluster, ported the inference pipeline, and shipped a routing agent for edge cases.
11k incoming PDFs/day across customs, BLs, and invoices. OCR + classification pipeline on Managed Agents with human-in-the-loop only on exceptions.
300+ engineers, 40 years of unstructured documentation. Agent surfacing answers from a private RAG index with citation-grade traceability and full audit log.
We're onboarding our first engagements. If you have a real operational problem — a recurring cost, a stuck process, a model that almost works — we want to hear it. We'll tell you within a week if we're the right fit.
hello@baylake.ai