15 seconds
Greentic helps businesses turn manual processes into guided digital workers that support customers and employees, reduce repetitive work and keep AI under business control.
Starter Kit · Module 02
Sell Greentic
Greentic gives partners a practical way to help customers move from manual processes, disconnected systems and generic AI experiments to guided digital workers that are useful, controlled and ready for real business operations.
This page gives partners simple pitches, customer pain points, business outcomes, objection handling and discovery questions for early sales conversations.
Core positioning
“Greentic helps partners turn manual business processes into guided digital workers that combine AI assistance with business control.”
Section 1
Explain Greentic in seconds
Three pitch lengths for different moments in a customer conversation.
30 seconds
Greentic gives partners a practical way to create digital workers for real business processes. These workers can guide users through clear steps, collect the right information, show choices and approvals, use AI where it helps, and hand over to people when needed.
2 minutes
Many businesses are testing AI, but they struggle to turn it into reliable operational improvement. A chatbot can answer questions, but it often does not complete the process. Traditional automation can remove some tasks, but it may not improve the customer or employee journey. Pure agentic AI can feel too open-ended for business-critical work.
Greentic helps partners bridge that gap. It allows them to design guided digital workers that combine business process control with AI assistance. A digital worker can ask the right questions, collect the right information, guide the user through the next step, support approvals, prepare summaries and escalate to a person when judgement is needed.
This gives partners a strong way to help customers start small with a proof of value, demonstrate impact quickly, and then scale successful digital workers across departments or industries.
Section 2
Problems customers recognise immediately
These are the friction points customers nod along to within the first few minutes of a conversation.
Customers and employees get stuck in unclear processes
People often do not know what to do next, which form to complete, who to ask or what information is needed.
Too many requests arrive with missing information
Requests often come through email, chat, forms or tickets without the detail needed to resolve them.
Staff waste time asking follow-up questions
Teams spend too much time chasing missing information instead of solving the actual problem.
Managers approve decisions without enough context
Approvals are often made from incomplete email trails, disconnected documents or unclear summaries.
AI experiments are not becoming operations
Customers may have tried AI tools, but they struggle to turn impressive demos into reliable business processes.
Automation projects take too long
Traditional process automation and integration projects can take months before the business sees value.
Handovers are messy
When work moves between people, teams or systems, important context is often lost.
Business leaders want AI benefits without losing control
Customers want the speed and intelligence of AI, but they also need governance, accountability and clear boundaries.
Section 3
What customers can achieve
Translate the pain into outcomes a business sponsor will care about.
Faster service
Guide customers and employees to the right outcome more quickly.
Less repetitive admin
Reduce routine questions, chasing and manual handovers.
Better guided journeys
Replace confusing email chains and forms with clear step-by-step experiences.
More controlled AI adoption
Use AI where it helps, while keeping important business decisions within agreed boundaries.
Better escalation
When a person needs to step in, they receive the history, summary and collected information.
Repeatable partner solutions
Partners can package successful digital workers into reusable solutions for specific industries or departments.
Section 4
Why Greentic is different
Position Greentic clearly against the three things customers may already have in mind.
Compared with chatbots
Chatbots usually answer questions. Greentic digital workers are designed to help users complete business processes.
- Chatbots are often open-ended conversations.
- Greentic guides people through clear steps.
- Chatbots may answer an FAQ.
- Greentic can collect information, show choices, support approvals and prepare a proper handover to a person.
Compared with traditional RPA
RPA usually automates tasks behind the scenes. Greentic creates guided business experiences that people can actually interact with.
- RPA often works in the background.
- Greentic can work directly with customers, employees and managers.
- RPA is usually task automation.
- Greentic is about improving the whole journey: request, guidance, decision, action and escalation.
Compared with pure agentic AI
Pure agentic AI can be powerful, but many businesses need more control before they trust AI inside operations.
- Pure agentic AI may decide the next step too freely.
- Business teams often need agreed steps, approvals and boundaries.
- Greentic gives AI a controlled role inside a business process.
- AI can help understand, summarise and suggest.
- The business process still defines what should happen, when to ask for approval and when to involve a person.
“Greentic is for organisations that want the speed and intelligence of AI, but with the control, structure and accountability that business operations require.”
Section 5
Best buyer conversations
The roles that most often have both the pain and the budget to act.
Operations leaders
Pain
Too much manual coordination across teams.
Message
Greentic can help turn repeatable operational processes into guided digital workers.
Customer service leaders
Pain
High support volumes, inconsistent responses and expensive escalations.
Message
Greentic can guide common support journeys and escalate complex cases with context.
HR leaders
Pain
Employees ask the same onboarding, policy and process questions repeatedly.
Message
Greentic can guide employees through HR journeys and reduce repetitive HR admin.
Finance leaders
Pain
Approvals, invoice queries and exception handling are slow and email-driven.
Message
Greentic can structure finance workflows and support approval journeys.
IT leaders
Pain
Tickets are poorly described, misrouted or missing key information.
Message
Greentic can collect the right details, classify requests and route issues more effectively.
Innovation and transformation leaders
Pain
AI pilots are visible, but operational impact is limited.
Message
Greentic can turn AI ideas into practical digital worker demos and proof-of-value projects.
Section 6
How to answer common objections
Short, confident answers to the questions partners hear most.
Section 7
Questions to ask in the first customer meeting
Use these as a flexible guide. The goal is to understand the process, the people and the pain — not to interrogate.
Process discovery
- →Which routine processes create the most manual work today?
- →Which requests arrive repeatedly through email, chat, forms or tickets?
- →Where do users often provide incomplete information?
- →Which processes have too many handovers?
- →Which processes are slow because people are waiting for approvals or clarification?
AI and automation readiness
- →Have you already tried AI assistants, chatbots or automation tools?
- →What worked well?
- →What failed or felt risky?
- →Where would AI help if the process was properly controlled?
- →Which decisions must remain rule-based or human-approved?
User journey discovery
- →Where do customers or employees currently get stuck?
- →What information do they often miss?
- →Which steps cause frustration?
- →Where would a guided experience be better than a form, email or open chat?
- →What would make the journey feel easier and faster?
Channel discovery
- →Where do users currently ask for help?
- →Do employees use Teams, Slack, Webex or email?
- →Do customers use webchat, WhatsApp, portals or email?
- →Which channel would make the first demo most compelling?
Integration discovery
- →What systems contain the data needed for the process?
- →Which actions would the digital worker eventually need to trigger?
- →Could a first proof of value start with sample or hard-coded data?
- →Which integrations are essential for production?
- →Which integrations can wait until after the process is validated?
Success criteria
- →What would make a proof of value successful?
- →How much time could be saved?
- →Which manual steps could be removed?
- →How would you measure user experience improvement?
- →What would justify scaling the solution?
Section 8
Good first opportunities
Qualify the first project carefully. Most early failures come from picking the wrong process, not from the technology.
A good first Greentic opportunity usually has:
- A repeatable process
- Clear user pain
- High enough volume to matter
- Structured decisions or data collection
- A visible business owner
- A process that can be demonstrated with realistic sample data
- A clear before-and-after story
- A safe scope for a proof of value
- Potential to expand after the first success
Avoid starting with the most complex, politically sensitive or heavily integrated process. Start with something visible, valuable and achievable.
Section 9
Suggested first customer conversation
A simple structure that keeps the conversation focused on the customer's process and outcomes.
- 1Start with the business problem
- 2Explain guided digital workers
- 3Show how Greentic is different from a chatbot, RPA and pure agentic AI
- 4Identify one candidate process
- 5Discuss the user journey and where people get stuck
- 6Discuss channels and sample data
- 7Define a small proof-of-value scope
- 8Agree success criteria
- 9Plan the next demo or workshop
Partner tip
Do not lead with AI features. Lead with the customer process, the friction users experience today and the business outcome the customer wants.
Ready to turn the conversation into a demo?
Once a customer recognises the problem, the next step is to show how a Greentic digital worker could improve one real process.