01
Software
Best when
Your team can configure, run and govern the workflow.
Tradeoff
The license does not own adoption or output.
Managed AI services
Managed AI services: a buyer’s guide to accountable execution
Understand what managed AI services should deliver, how they differ from software and consulting, and how to evaluate ownership, security, quality and commercial fit.
XCAILE managed-delivery framework · reviewed September 24, 2026
Reviewed by the XCAILE hiring and employment team, Checked September 24, 2026
Short answer
The decision in plain language.
Choose extra capacity when your own manager can assign the work, review quality and handle exceptions. Choose a managed service when you want a provider to run one recurring workflow with named people, finished outputs, quality checks and clear buyer approvals. BPO is a delivery model, nearshore is geography, and AI is a capability; they can be combined rather than treated as exclusive alternatives.
What would managed proposal follow-up look like?
Illustrative example, not a customer result. For an enquiry-to-proposal workflow, a named operator maintains the enquiry tracker, prepares proposal drafts and follows up inside your CRM. XCAILE manages the agreed tasks and checks; you approve prices and commercial commitments. Unclear requirements, technical questions and exceptions return to the named person on your team.
See a starting scope for my slow workflowCompare the operating models
Choose by who owns the work.
02
Consulting
Best when
The main need is diagnosis, architecture or a decision roadmap.
Tradeoff
Execution may remain with your team.
03
Managed service
Best when
You need a named team to run and improve defined work.
Tradeoff
Boundaries and buyer approvals must be contractually clear.
| Model | Best when | Tradeoff |
|---|---|---|
| Software | Your team can configure, run and govern the workflow. | The license does not own adoption or output. |
| Consulting | The main need is diagnosis, architecture or a decision roadmap. | Execution may remain with your team. |
| Managed service | You need a named team to run and improve defined work. | Boundaries and buyer approvals must be contractually clear. |
Free tool
Try it nowFree workforce fit assessment
Answer a few questions and see whether software, consulting or a managed service fits your workflow.
Buyer checklist
Resolve these before comparing proposals.
- Ask for a finished-work sample
- Name every human and AI approval boundary
- Define exceptions before volume
- Require an exit and handoff path
What a useful first scope contains
- Operating specification
- Responsibility matrix
- Quality and escalation plan
- Service review scorecard
These are illustrative scope artifacts, not customer results or a promise of availability.
Buying questions
Questions to settle before you buy.
What should be included?
Defined work, responsible roles, AI use, access controls, quality review, exception handling, reporting, service levels, change control and transition support.
What should a buyer verify?
Inspect who performs the work, what finished outputs look like, how errors are caught, who can approve changes and how the service exits or expands.
How should pricing work?
Pricing can be role-, capacity-, milestone- or scope-based. The proposal should state assumptions, included capacity, exclusions and change triggers.
Tell us what you are deciding.
Send the role and the country, or the decision you are stuck on. A person replies in writing.
We never share your details.
Related guides
Continue the decision.
AI Workforce Decision Center
The full framework for choosing between every AI workforce model.
All buyer guides
Every XCAILE guide, organized by the problem you're solving.
AI staff augmentation vs. managed AI services
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Automation vs. an AI-enabled team
Decide what to automate and what needs a person.
Model of work
How XCAILE structures accountable delivery.
From research to a real scope
See the smallest accountable model for your work.
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