Partner Enablement
Training
Greentic partner training is designed to help partners move from understanding the story to confidently selling, demoing, delivering and scaling digital worker solutions. The goal is not only to learn the platform, but to build a repeatable partner capability around practical AI adoption.
Goals
What partner training should achieve
Spot good opportunities
Run confident demos
Scope proof-of-value projects
Deliver with control
Build repeatable offers
Learning Path
The Greentic partner learning path
Understand → Position → Demo → Prove → Deliver → Package → Grow
Understand
Learn what Greentic is, what digital workers are and why businesses need guided AI adoption.
Learning focus
- •What Greentic helps partners do
- •What a guided digital worker is
- •Why AI needs business control
- •How Greentic differs from chatbots, RPA and pure autonomous AI
Outcome
Position
Learn how to connect Greentic to customer problems and business outcomes.
Learning focus
- •Customer pain points
- •Buyer personas
- •Business outcomes
- •Objection handling
- •Discovery questions
Outcome
Demo
Learn how to demonstrate a better business journey.
Learning focus
- •Demo storytelling
- •Before-and-after framing
- •Realistic sample data
- •Guided user journeys
- •Control and escalation moments
- •Closing with next steps
Outcome
Prove
Learn how to define a focused proof of value.
Learning focus
- •Use-case selection
- •Scope control
- •Success criteria
- •Customer inputs
- •Stakeholder review
- •Final recommendations
Outcome
Deliver
Learn how to move from demo to pilot or deployment.
Learning focus
- •First workshop structure
- •Process discovery
- •Journey design
- •Acceptance testing
- •Go-live checklist
- •30/60/90-day adoption plan
Outcome
Package
Learn how to turn repeatable journeys into partner offers.
Learning focus
- •Department-specific offers
- •Industry-specific offers
- •Reusable templates
- •Repeatable demos
- •Expansion planning
Outcome
Grow
Learn how to scale capability across the partner organisation.
Learning focus
- •Training sales teams
- •Training delivery teams
- •Building internal champions
- •Measuring pipeline and conversion
- •Expanding customer accounts
Outcome
Modules
Suggested training modules
Greentic basics
Understand what Greentic is and how to explain it to customers.
Topics
- •What Greentic is
- •What guided digital workers are
- •Why businesses need practical AI adoption
- •Key differences from chatbots, traditional automation and pure autonomous AI
- •Core partner opportunity
Practical exercise
Write a 30-second Greentic explanation for a business buyer.
Digital worker opportunity discovery
Learn how to identify good first customer opportunities.
Topics
- •Recognising manual process pain
- •Finding repeated requests
- •Spotting missing information and messy handovers
- •Choosing visible, valuable and achievable use cases
- •Avoiding overly complex first projects
Practical exercise
Score three possible customer processes and choose the best first proof-of-value candidate.
Sales positioning and objection handling
Help partners lead early customer conversations confidently.
Topics
- •Customer pain points
- •Business outcomes
- •Buyer personas
- •Discovery questions
- •Objection handling
- •AI with business control
Practical exercise
Role-play a first meeting with a customer service, HR, finance or IT buyer.
Demo storytelling
Learn how to run demos that show business value.
Topics
- •Before-and-after story
- •Guided journey design
- •Realistic sample data
- •Main menu and clear choices
- •Business control moments
- •Human handover
- •Closing with proof-of-value next steps
Practical exercise
Prepare and present a five-minute demo story for one selected use case.
Proof-of-value scoping
Learn how to turn interest into a focused first engagement.
Topics
- •What a proof of value is
- •Scope included and excluded
- •Customer inputs
- •Success criteria
- •Stakeholder review
- •Final report and next-step decision
Practical exercise
Create a one-page proof-of-value scope for a selected customer process.
Delivery method
Learn how to deliver the first engagement successfully.
Topics
- •Discover, Design, Demo, Validate, Deploy, Scale
- •First customer workshop
- •Process discovery checklist
- •Guided journey design
- •Acceptance testing
- •Go-live checklist
- •Adoption plan
Practical exercise
Create a delivery plan for a first proof-of-value project.
AI control and business trust
Learn how to explain and design AI with business control.
Topics
- •Where AI should help
- •Where the business must stay in control
- •Approval points
- •Escalation rules
- •Human judgement
- •Avoiding overpromised autonomy
- •Building customer trust
Practical exercise
Identify AI assistance points and human control points in a sample journey.
Building repeatable partner offers
Learn how to package successful journeys into reusable services.
Topics
- •Turning one project into a repeatable offer
- •Department-specific starter packages
- •Industry-specific solution packaging
- •Reusable demos and templates
- •Customer expansion plans
- •Partner growth metrics
Practical exercise
Design a named partner offer for one department or industry.
Roles
Training tracks by partner role
Sales teams
Recommended modules
- •Greentic basics
- •Opportunity discovery
- •Sales positioning and objection handling
- •Demo storytelling
- •Proof-of-value scoping
What they should be able to do
Explain Greentic clearly, qualify opportunities, handle objections and guide customers towards a focused proof of value.
Demo specialists
Recommended modules
- •Greentic basics
- •Demo storytelling
- •Digital worker opportunity discovery
- •AI control and business trust
- •Proof-of-value scoping
What they should be able to do
Run business-focused demos that show a better guided journey, not just an AI conversation.
Delivery teams
Recommended modules
- •Greentic basics
- •Proof-of-value scoping
- •Delivery method
- •AI control and business trust
- •Building repeatable partner offers
What they should be able to do
Run workshops, design guided journeys, validate proof-of-value projects and support controlled deployments.
Partner leaders
Recommended modules
- •Greentic basics
- •Building repeatable partner offers
- •Sales positioning and objection handling
- •Proof-of-value scoping
- •Partner growth planning
What they should be able to do
Build a repeatable Greentic business motion, choose target markets and develop packaged offers.
Industry specialists
Recommended modules
- •Greentic basics
- •Opportunity discovery
- •Demo storytelling
- •Proof-of-value scoping
- •Building repeatable partner offers
What they should be able to do
Translate Greentic into industry-specific digital worker solutions using customer language and sector pain points.
Readiness
Suggested partner readiness levels
Greentic Sales Ready
A partner is Sales Ready when they can:
- Explain Greentic in simple business language
- Describe guided digital workers
- Position Greentic against chatbots, traditional automation and pure autonomous AI
- Identify good first use cases
- Ask discovery questions
- Handle common objections
- Propose a proof-of-value next step
Greentic Demo Ready
A partner is Demo Ready when they can:
- Run a business-focused demo
- Tell the before-and-after story
- Use realistic sample data
- Show guided choices and next steps
- Show business control and escalation
- Connect the demo to measurable outcomes
- Close with a proof-of-value proposal
Greentic Delivery Ready
A partner is Delivery Ready when they can:
- Run a first customer workshop
- Map the current process
- Design the guided digital worker journey
- Define scope and success criteria
- Validate with realistic scenarios
- Support controlled rollout
- Recommend next steps
Greentic Solution Builder
A partner is Solution Builder ready when they can:
- Turn repeated use cases into named offers
- Create reusable messaging
- Reuse demo scripts and proof-of-value templates
- Build department or industry-specific starter packages
- Plan customer expansion
- Measure partner growth
Exercises
Practical exercises for partner teams
Explain Greentic in 30 seconds
Task
Write and practise a short explanation for a business buyer.
Success looks like
The explanation avoids jargon and clearly explains the business value.
Choose the best first use case
Task
Compare three possible customer processes and score them for pain, repeatability, demo clarity, control need and expansion potential.
Success looks like
The team can explain why one use case is the best first proof-of-value candidate.
Build the demo story
Task
Create a before-and-after demo story for one customer journey.
Success looks like
The demo shows the current pain, the guided journey, the control moment and the business outcome.
Scope a proof of value
Task
Create a one-page proof-of-value scope with objective, included scope, excluded scope, customer inputs, success criteria and next-step decision.
Success looks like
The scope is focused enough to be achievable and clear enough for the customer to approve.
Identify AI control points
Task
Review a sample digital worker journey and decide where AI can help, where approvals are needed and when a person should take over.
Success looks like
The team can explain how AI adds value without removing business control.
Package a repeatable offer
Task
Turn one successful use case into a named partner offer.
Success looks like
The offer has a target buyer, clear problem, expected outcome, proof-of-value scope and expansion path.
Resources
Training resources partners should build
Internal pitch deck
Demo scripts
Discovery checklist
Proof-of-value template
Objection-handling guide
Use-case scorecard
Customer expansion map
Plan
30/60/90-day partner enablement plan
First 30 days: Foundation
- •Review the starter kit
- •Train core sales and delivery leads
- •Choose target customer segments
- •Select first three use cases
- •Prepare the first demo story
- •Create a basic discovery checklist
Outcome
The partner can start confident customer conversations.
Days 31–60: Customer conversations
- •Run discovery calls
- •Deliver first demos
- •Refine messaging
- •Identify proof-of-value candidates
- •Practise objection handling
- •Build first proof-of-value scopes
Outcome
The partner has active customer opportunities and repeatable sales material.
Days 61–90: Repeatability
- •Deliver first proof-of-value projects
- •Capture lessons learned
- •Package the strongest use case
- •Train more team members
- •Create campaign messaging
- •Build an expansion plan
Outcome
The partner has the foundation for a repeatable Greentic growth motion.
Metrics
How to measure training success
People trained
Pitches practised
Demos delivered
Use cases identified
Proof-of-value scopes created
Objections handled
Repeatable offers created
Customer progress
Pitfalls
What to avoid
Avoid starting with technical detail
Most partner teams first need the business story, not product internals.
Avoid generic AI messaging
Train teams to explain practical business improvement, not vague AI transformation.
Avoid feature memorisation
Partners should understand customer problems, journeys and outcomes before memorising features.
Avoid demoing without a story
A screen walkthrough is less powerful than a business before-and-after journey.
Avoid overpromising autonomy
Partners must explain AI with control, not uncontrolled AI decision-making.
Avoid skipping proof-of-value scoping
Interest should turn into a focused next step, not a vague 'let's keep talking' conversation.
Avoid treating training as one-off
Partner capability improves through practice, feedback, repeated demos and customer conversations.
The best Greentic partners are not only trained on a product. They are trained to identify business pain, tell a clear digital worker story, prove value quickly and package what works into repeatable customer solutions.
Ready to build partner capability?
Start by training a small core team to explain, demo and scope Greentic opportunities. Then expand capability as customer demand grows.
