013 Labs Consulting

A bounded path from AI idea to working system.

We help small and mid-market organizations find the right AI opportunity, test it against real operating conditions, and — when it holds up — build a controlled system their team can actually run.

Discuss a project See the two offers

Who it is for

You can name a costly recurring workflow, high-friction decision, or reporting gap.

You own the process and can sponsor access, decisions, and subject-matter review.

You want a working, controlled system — not a general AI strategy deck.

Two ways to start

Decide what deserves to be built. Then build only what passes the test.

Offer 01 01

AI Systems Diagnostic

For teams that know a process is not working, but are not yet sure where AI helps, what data it needs, or whether the project should be built at all.

Best when

the problem is real, but the scope, risks, or economics are still unclear.

Deliverables

  • Current-state workflow and the actual failure points
  • Prioritized opportunity map with build, buy, and do-not-build calls
  • Data, access, decision, and risk inventory
  • Measurable baseline and success criteria
  • Implementation roadmap with explicit dependencies and control points

The engagement ends with a clear build/no-build recommendation and a bounded next step. Follow-on implementation is not assumed.

Offer 02 02

Scoped Implementation

For teams with a validated use case, an accountable process owner, and the willingness to build one specific system with defined boundaries, controls, and acceptance criteria.

Best when

the outcome and owner are clear, and the system needs to connect to real workflows or data.

Deliverables

  • Agreed scope, system design, and acceptance criteria
  • Working build and the agreed integrations
  • Access boundaries, approvals, logging, and failure modes
  • Testing against realistic cases and subject-matter sign-off
  • Operating documentation, handoff, and measurement plan

We define the project before the build. New requirements become visible decisions — they do not quietly become an open-ended engagement.

How it works

From first question to handoff, the engagement stays controllable.

Bound the problem

We define the workflow, accountable people, current baseline, and the decisions that must stay human.

Evidence before claims

We test the critical assumptions with real materials, edge cases, and clear success criteria before the scope expands.

Build, verify, hand off

We deliver in testable steps, document controls and failure modes, and hand over a system your team can understand and operate.

Boundaries and controls

Controls are part of the build — not an afterthought.

Scope before access

We define what the system may and may not do before connecting accounts, data, or tools.

Humans at consequential points

Financial, legal, customer-facing, or irreversible actions get explicit approval points.

Least privilege and auditability

Access is limited to what is needed. Important actions and failures must be reviewable.

A real handoff point

Ownership, documentation, operation, and the next measurement points are clear before the project ends.

No vague “AI transformation” promise. No replacement for accountable decision-makers. No black-box deployment that only its builder can operate.

Honest proof

Proof, without theater.

013 Labs grounds its work in systems we have actually built and operated: systematic trading infrastructure, a data-intelligence platform for a regulated industry, and agent workflows for real business operations. That is evidence of how we work — not a promise that your outcome will look the same. We do not invent client names, metrics, or success stories.

See selected work

Start with the problem, not the model.

Tell us about the workflow, decision, or gap you want to improve. We will tell you whether the right next step is a diagnostic, a scoped implementation, or no AI project at all.

Contact 013 Labs