We build grounded intelligence systems for companies that design, build, move, and operate the real world.

Shovel is a productized AI workflow architecture system for manufacturing, engineering, and operationally complex companies. We help teams identify which AI workflows are actually worth building, architect them correctly, and move them into implementation without the usual chaos, wasted spend, or false starts.

Find the right work

Separate real workflow opportunities from vague AI ideas before teams waste time, budget, or trust.

Make it buildable

Turn messy workflows, tribal knowledge, systems, risks, and ownership into clear specs a team can actually execute.

Stay in front

Create practical AI-enabled systems that learn the business over time and get easier to extend with every workflow.

AI is ready.Most workflows are not.

Shovel helps clients find the right work, shape it into something buildable, and carry the learning forward so every next workflow starts with more context and less waste.

What we're doing to move real-world companies forward

What Shovel does.

Phase 0

Frame

Purpose: Through interviews, we define what we are solving, why it matters, who decides, what success means, and what is out of scope before we build.

Problem Brief: what we are solving and why
Success Criteria: how the solution will be judged
Decision Map: who has input, authority, and sign-off
Scope Fence: what is explicitly out of bounds
Gate 0: whether the problem is ready to move forward

Client Outcome: Everyone agrees on the problem, success criteria, decision makers, and boundaries before design starts.

Phase 1

Map

Purpose: Capture the real workflow with the people who run it, including steps, owners, systems, handoffs, requirements, and hidden constraints.

Workflow Map: how the work happens today
Requirements: constraints the build must respect
Owner Map: who owns each part of the work
Sign-Off: approval from the people closest to it
Gate 1: whether the process is ready for design

Client Outcome: The solution is grounded in operational reality instead of assumptions.

Phase 2

Architect

Purpose: Define the shape of the solution, its major parts, boundaries, dependencies, and key architecture decisions before implementation begins.

System Blueprint: major parts and boundaries
Decision Records: key choices and why
Open Decisions: what is deferred and why
Gate 2: whether the architecture is ready to specify

Client Outcome: Builders can see the system shape, decision logic, and unresolved questions before implementation starts.

Phase 3

Contract

Purpose: Translate the design into pass/fail requirements and real-world acceptance scenarios so builders know exactly what the solution must do.

Build Contracts: pass/fail requirements
Acceptance Scenarios: real-world behaviors to prove
Scope Fence: what the build will not include
Gate 3: whether the package is ready to build

Client Outcome: The builder gets a falsifiable spec, not a pile of interpretive notes.

Criteria before decisions

Agree on the rules before choosing a solution. The decision can change later, but the reasoning should stay clear, testable, and easy to revisit.

Conversation is the work

Working sessions become usable outputs. AI helps draft, organize, and connect the pieces, but people can review, edit, or write anything by hand.

Nothing invisible

Every major part has a decision record. Every decision has a build contract. Every contract has an acceptance scenario. Routine choices are documented too.

Client memory

Living knowledge of your business, systems, people, processes, and decisions.

Discovery

We uncover the real workflows, constraints, and desired outcomes.

Capture

Facts, decisions, patterns, and risks become key insights as memory.

Apply

Memory informs better questions, specs, and risk detection.

Improve

Outcomes and feedback update memory, and sharpen future work.

Agents run the process.

Prepare

Studies the client, context, open questions, and likely blind spots before the working session begins.

Diagnose

Turns early knowledge into a clear first read on the problem, owner, value, constraints, readiness, and next best path.

Capture

Turns interviews and workshops into usable workflow evidence: maps, requirements, risks, decisions, and next steps.

Decide

Clarifies important choices, tradeoffs, reasoning, dependencies, and what would cause a decision to change.

Protect

Keeps the plan coherent when decisions, scope, requirements, or constraints shift during the work.

Improve

Captures outcomes, mistakes, missing context, and lessons that make the next workflow faster, safer, and sharper.

Shovel uses focused agents to prepare the room, diagnose the opportunity, capture the work, shape decisions, protect the plan, and improve the system after every rep.

Diagnostic

Fixed-price workflow rep. Finds the right work and makes it clearly buildable.

Phase 0

Handoff

Support layer. Helps client teams or partners execute without losing context.

Phases 1-3

Implementation

Full build range. Good specs create qualified pilots, MVPs, and systems.

Buildout

Maintenance

Keeps launched workflows useful, governed, measured, and improving.

Ongoing