Does an existing feature fit the process?
Assess the tools your company already uses and available products. Check fit, integration, limitations and operating costs.
Criteria for choosing a partner
How to choose who will implement AI in your operations
Compare proposals by the problem they address, the work they will deliver and who will sustain the solution. The name of the engagement model is only the starting point.
Which approach fits your context?
Does the problem still need to be defined?
Look for the ability to understand operations and select a priority. The next step should be clear: who implements, with which data and against which evaluation criteria.
Does your team already have a specification and the capacity to maintain the solution?
Compare internal delivery and specialist support based on skills, availability and responsibilities.
Does your operation have specific rules and integrations?
Assess a custom implementation with defined scope, owners, acceptance criteria and continuity.
What to check in any proposal
| Criterion | Evidence to request |
|---|---|
| Problem and objective | Expected impact on cost, margins, capacity or revenue, the current situation and an owner for results |
| Delivery and implementation | Deliverables, scope boundaries and acceptance criteria |
| Team | Roles, responsibilities, allocation and issue escalation |
| Integrations | Actual systems involved, access requirements and compatibility validation |
| Data and decisions | Permitted uses, required controls, human review and exception handling |
| Cost | Initial investment, third-party services, the cost of maintaining the solution and scope-change rules |
| Continuity and exit | Documentation, maintenance, access to data and solutions, and exit terms |
| Evidence of value | A contextualized measure, comparison, period and limits of the reported result |
| Expansion | Criteria for expansion and responsibilities for the next scope |
Where Magical fits
The conversation starts with expected business impact: reducing costs, protecting margins, increasing capacity or growing revenue. We then assess data, feasibility and risk to define an initial project and how to measure its results.
Our projects cover different types of work. At RBR, a custom TMS generates quotes in seconds, compared with about 30 minutes in spreadsheets. At Profil, with a custom solution built by Magical, the handoff of orders to production went from up to 72 hours to minutes. At Carbel, the work was practical training for 23 leaders.
Team composition, pricing, integrations, support and rights to deliverables need to be specified in the individual proposal. Case studies help assess experience; scope defines the work being commissioned.
Let's discuss what your operations need
Tell us about the problem and what is already in place. Let's assess the opportunity and the next step for your context.
Talk to a partner
Tell us your business priority. We’ll get in touch to understand the context and assess the opportunities.
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