Deployed Works Guide
For organisationsHow To Deploy AI And Automation Capability
Start with a defined AI or automation outcome before choosing the capability route.
How To Deploy AI And Automation Capability guide trailer
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Audience
For organisations
Founders, operators, capability buyers and startup or scaleup teams
Time
2 minute read
Outcome
Start with a defined AI or automation outcome before choosing the capability route.
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Download the PDF for meetings or offline use. The web guide has the latest version.
AI scoping map
Start AI and automation work from the outcome.
Use this map before choosing a provider, SaaS product, AI service or blended capability route.
Workflow
Manual or brittle process
Where work is repeated, delayed, copied between systems or dependent on one person.
Data
Inputs and decisions
Forms, CRM fields, billing events, support messages, product data and exception rules.
Pilot
First useful result
A process map, prototype, integration, internal tool or automation pilot.
Operate
Handover and support
Documentation, owner training, maintenance plan and risk boundaries.
Guide summary
What this guide helps you do
Who it is for
Best fit readers
- A founder who needs AI or automation work done in the next 30-60 days.
The problem
Start with the outcome before choosing a capability route.
AI and automation work is easy to frame around a tool before the outcome, data boundaries and operating owner are clear. Start with the workflow or result, then choose the capability route that can deliver it.
Step by step
Build the brief around the work.
Define the outcome before the solution
Describe the workflow, decision, integration, data problem or product outcome before choosing a tool, provider type or delivery form.
Make the deployment boundary explicit
Name the systems, data, permissions, human approvals, support owner and failure conditions that any route must respect.
Choose a first engagement shape
Start with a discovery sprint, prototype, integration, workflow audit, internal tool build or implementation plan.
Ask for relevant proof
Proof can be shipped automations, before-and-after process examples, integration work, product delivery, references or clear technical artefacts.
Give budget and rate signals
A range is enough.
Define the first useful result
Agree what should exist at the end: a working automation, deployed internal tool, integration plan, technical recommendation, prototype or measurable reduction in manual work.
Example
A better first AI or automation brief
Instead of: “We need someone to help with AI. ” Try: “We need to reduce manual customer onboarding work across HubSpot, Stripe and our internal database.
Template
AI and automation capability brief template
Business outcome: Current workflow or process: Why this matters now: Outcome or function to change: Systems, tools or data involved: First useful result:
Common mistakes
Avoid these traps
- Choosing a provider or product before the outcome is understood.
- Writing “AI” when the real need is workflow, data, product or integration capability.
- Starting with a tool choice instead of a business outcome.
Checklist
Ready to publish when
- The brief names a specific workflow, product or operational outcome.
- The first engagement is scoped tightly enough to learn from.
- Relevant systems, data and constraints are listed.
- Proof requested is relevant to the work.
FAQ
Questions this guide usually raises
When should we clarify before choosing a route?
Clarify when the outcome, data boundary, internal owner, access or evidence of success is still too vague for fair comparison.
What AI or automation work fits Deployed Works?
Good fits include workflow automation, AI implementation support, internal tools, data integration, product engineering, process mapping and technical discovery.
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Use the guide
Turn the work into a capability brief.
Start with a defined AI or automation outcome before choosing the capability route.
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