Decide · Manufacturing AI readiness

Choose a defensible AI direction.

AI Direction is a fixed-scope, three-week manufacturing AI readiness and strategy engagement. It evaluates up to five candidate workflows, analyzes the strongest two, and turns the evidence into an owned 90-day roadmap—not a list of demos—including valid prepare, process-improvement, no-AI, and stop decisions.

Discuss an AI Direction Sprint Book a free AI Fit Call

Free first step

Use 30 minutes to test fit before buying a sprint.

The AI Fit Call is for an owner, executive sponsor, or senior functional leader with a real business problem. Bring non-sensitive context about company priorities, current AI use, one or two frustrating workflows, and material constraints.

You receive a verbal fit assessment, a recommended next step, and a short follow-up email with relevant resources. The right answer may be the Academy, company learning, AI Direction, another provider, process improvement, or no immediate action.

The call tests fit and routes the next step. It is not a free AI readiness assessment, workflow analysis, business case, strategy engagement, or implementation design.

AI Fit Call at a glance

For: An owner, executive sponsor, or senior functional leader
Duration: 30 minutes
Pricing: Free

Included

The call provides

A verbal fit assessment
A recommended next step, including a valid no-action or referral outcome
A short follow-up email with relevant resources

Not included

The call is not

Free strategy engagement or implementation design
Technical, security, legal, or compliance assessment
Review or transfer of sensitive company information

Book a free AI Fit Call

Fixed-scope decision engagement

Answer one leadership question in three weeks.

Where should we use AI, where should we not use it, and what should we do over the next 90 days? AI Direction examines actual workflows rather than treating a generic maturity score as a prediction of success.

Use learning when people first need shared judgment. Use AI Direction when leaders have real candidate workflows but need evidence, priorities, and a roadmap. Bounded implementation starts only after one workflow has earned a proceed decision. Managed AI is for approved tools and workflows that need recurring operating responsibility.

AI Direction Sprint at a glance

For: Owners, executives, operations leaders, and senior functional sponsors
Duration: Three weeks
Scope: Up to five candidate workflows, with detailed analysis of the two strongest candidates
Pricing: Fixed-scope three-week engagement; scoped proposal after the free Fit Call

Learn · Build shared judgment

Use the free Academy for individual foundations or Company AI Foundations for an employer-sponsored group. Learning does not choose company priorities or authorize workplace use.

Decide · AI Direction

Compare up to five actual workflows, analyze the strongest two, record boundaries and prerequisites, and leave with owned decisions and a 90-day roadmap.

Implement · One validated workflow

Configure, integrate, or build only after a workflow has a sponsor, users, approved information, review authority, a baseline, and a measurable target.

Manage · Approved AI in operation

Use recurring management after approved tools or workflows need evaluation, records, user support, vendor review, escalation, and leadership decisions.

Evidence used to decide whether a manufacturing AI workflow advances
Decision criterion	Evidence expected	Possible decision
Problem and value	Named users, current workflow, delay, rework, cost, consequence, and a usable baseline or a plan to establish one.	Advance, measure first, improve the process, or stop.
Information and source authority	Approved sources, ownership, access, sensitivity, version or conflict rules, and representative non-sensitive examples.	Advance, clean up sources, restrict the scope, or stop.
Human authority and review	A workflow owner, qualified reviewer, escalation path, and explicit decisions that AI may not make.	Advance with review, add an owner or specialist, or stop.
Technical and operating fit	Current tools, identity and integration constraints, IT/MSP input, users, support owner, and the smallest adequate solution layer.	Use an existing feature, configure, integrate, build, prepare, or stop.
Risk, economics, and success measure	Material failure modes, specialist constraints, test method, target, cost range, and the decision rule for continuing or ending the work.	Proceed to a bounded project, prepare, redirect, or stop.

Start with individual learning Compare company learning Review bounded implementation Review recurring management

Three-week process

Align, map, evaluate, and decide.

AI Direction Sprint work by week
Week	Work	Decision produced
Week 1 · Align and understand	90-minute leadership education and kickoff; up to five stakeholder interviews; review current use, tools, policies, priorities, and constraints; initial IT/MSP and quality discussion.	A factual operating context and candidate set.
Week 2 · Map and evaluate	Two 90-minute mapping sessions; identify effort, delay, handoffs, rework, and knowledge dependencies; score up to five opportunities and analyze the strongest two.	Value, feasibility, boundary, risk, and smallest-adequate-layer evidence.
Week 3 · Decide	Prioritize, develop an initial business case and operating boundaries, build the 90-day plan, and hold a 90-minute executive readout.	Owned decisions, prerequisites, stops, and next actions.

Eight concrete outputs

Keep the work even if Magnetta does nothing next.

The customer owns the delivered artifacts and has no obligation to retain Magnetta for implementation or management. The outputs document decisions and assumptions; they are not a compliance certification, general IT assessment, production approval, or promise that every company or workflow is ready for AI.

AI Direction deliverables

Executive decision brief
AI opportunity register for up to five candidate workflows
Two detailed workflow briefs
Buy, configure, integrate, build, or no-AI recommendation
AI responsibility map
Safe-use boundary
90-day roadmap
Managed AI recommendation

Illustrative excerpt from a synthetic workflow brief—not a customer result
Decision field	Illustrative entry
Candidate workflow	Pre-screen supplier certification packages for missing required items before a qualified quality reviewer evaluates the package.
Boundary	AI may identify possible omissions and point to the governing checklist. It may not approve, reject, disposition, or release a package.
Current decision	Prepare—do not implement yet. The checklist owner, current missing-item baseline, approved test information, and conflict rule are not yet confirmed.
Next 90 days	Name the owner and reviewer; confirm the controlled source; establish the baseline; approve synthetic or non-sensitive test cases; define accuracy, escalation, and stopping rules; then reassess.

Customer effort

Plan the internal time before the sprint begins.

Possible outcomes

Leave with a clear next step for each workflow.

Different workflows from the same company may receive different dispositions. A Direction Sprint is successful when it clarifies the right owner and action, including when Magnetta should not implement anything.

Possible outcomes after AI Direction
Outcome	Use it when	What happens next
Process improvement or no AI	The friction is better addressed through clearer work, source cleanup, deterministic automation, or an existing non-AI feature.	Assign the process or system owner; do not create an AI project.
Prepare	A credible opportunity lacks a baseline, owner, approved source, policy, access path, reviewer, or success measure.	Complete the prerequisite and reassess before implementation.
Bounded implementation	One workflow has a credible problem, owner, boundary, authorized test information, and measurable target.	Scope one typical 4–8 week configure, integrate, or build project.
Managed AI	Approved AI tools or workflows already need recurring review, records, user support, vendor review, and leadership decisions.	Confirm the operating baseline and define the Core or custom management band.
Stop or refer	The consequence, economics, authority, information, technical conditions, or required expertise make the work unsuitable for Magnetta.	Record the reason, refer when useful, and do not force another offer.

Review practical manufacturing AI use cases Review bounded implementation Review Managed AI

Responsibility and outcomes

A good sprint can recommend proceed, prepare, redirect, or stop.

Who owns what

Know who is responsible for each decision.

You receive documented recommendations and a 90-day plan. Production deployment is not included, and your team retains all investment, risk, policy, and production decisions.

Magnetta

Perform the agreed education, mapping, analysis, and documented recommendations.

Manufacturer

Supply accurate context, choose priorities, and make final investment and risk decisions.

IT or MSP

Clarify infrastructure, identity, security, integration, and support constraints.

Specialist authorities

Make delegated quality, legal, HR, security, engineering, and compliance determinations.

Included

Decision work included

Evaluate up to five workflows and deeply analyze the strongest two
Compare off-the-shelf, configure, integrate, custom-build, process-improvement, and no-AI options
Document owners, boundaries, success measures, dependencies, and the next 90 days

Not included

Not included in AI Direction

Production deployment
Tenant administration
Legal or compliance approval
Obligation to retain Magnetta
Integration development, policy approval, certification, legal advice, or unlimited tool setup

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A practical next step

Choose the next step that fits your team.

Discuss an AI Direction Sprint Book a free AI Fit Call