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.

Partners should be able to explain Greentic in business language, identify the right first use cases, run compelling demos, deliver focused proof-of-value projects and package successful journeys into repeatable offers.

Goals

What partner training should achieve

Explain Greentic clearly

Partners should be able to explain Greentic, guided digital workers and AI with business control in simple business language.

Spot good opportunities

Partners should know how to identify processes where customers feel real pain and where a guided digital worker could prove value quickly.

Run confident demos

Partners should be able to show a business journey, not just a technology screen.

Scope proof-of-value projects

Partners should understand how to start small, define success criteria and avoid overly broad first engagements.

Deliver with control

Partners should know how to design guided journeys with approval points, boundaries and human handover.

Build repeatable offers

Partners should learn how to turn successful projects into reusable department or industry solutions.

Learning Path

The Greentic partner learning path

Understand → Position → Demo → Prove → Deliver → Package → Grow

1

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

Partner can explain the Greentic concept clearly.
2

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

Partner can lead an early sales conversation.
3

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

Partner can run a compelling first demo.
4

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

Partner can propose a clear proof-of-value engagement.
5

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

Partner can support a first customer engagement successfully.
6

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

Partner can create repeatable solutions, not just one-off projects.
7

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

Partner can build a sustainable Greentic-powered business motion.

Modules

Suggested training modules

Module 1

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.

Module 2

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.

Module 3

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.

Module 4

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.

Module 5

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.

Module 6

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.

Module 7

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.

Module 8

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

These readiness levels can be used as an internal partner development path. They can later become formal certifications if Greentic chooses to introduce a certification programme.

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

1

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.

2

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.

3

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.

4

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.

5

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.

6

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

A short deck that explains Greentic, target use cases, business value and proof-of-value approach.

Demo scripts

Repeatable scripts for customer service, HR, finance, IT, sales or industry-specific journeys.

Discovery checklist

A list of questions sales and delivery teams use in the first customer meeting.

Proof-of-value template

A standard template for objective, scope, success criteria, customer inputs and next-step decision.

Objection-handling guide

A guide for answering common questions about chatbots, automation, autonomous AI, control and integration.

Use-case scorecard

A simple scoring method for choosing the best first customer opportunity.

Customer expansion map

A template for identifying the next department, process or channel after the first success.

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

How many team members can explain Greentic confidently?

Pitches practised

How many people can deliver the 30-second and 2-minute pitch?

Demos delivered

How many team members can run a clear business-focused demo?

Use cases identified

How many qualified customer opportunities have been identified?

Proof-of-value scopes created

How many focused PoV proposals have been prepared?

Objections handled

How confidently can the team answer questions about chatbots, automation, autonomous AI and business control?

Repeatable offers created

How many packaged department or industry offers has the partner created?

Customer progress

How many trained conversations lead to demos, proof-of-value projects or deployments?

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.