Freshdesk
Resolves tickets using your existing triggers and macros.
AI customer service that goes beyond answers
ify gives support teams an AI agent that understands the request, pulls in live customer context, and takes action across your business systems, resolving it instead of just replying to it.
✓Works with your existing stack. No migration required.
Customer Request
Customer Context
Business Systems
Resolved
Knowledge & Data
Works on top of your existing support stack
AI customer service
Customer support is moving from answers to resolution
Traditional support AI is good at finding information. ify connects your knowledge base, live customer context, and business systems so it can complete more of the work needed to resolve a request, not just describe how to.
How ify works
From customer request to resolution
A resolution loop built around understanding, context, decisions, controlled actions, and a clear outcome.
01
Understand
Identify what the customer is asking and the intent behind the request.
02
Gather Context
Bring together knowledge, customer history, orders, billing, and live system data.
03
Decide
Evaluate business rules, available tools, and the next best action.
04
Take Action
Execute the approved action across your connected business systems.
05
Resolve
Confirm the outcome to the customer, and escalate only when a human is genuinely needed.
Connected context
AI customer service that can take action
ify combines the information your support team relies on with the systems where the work actually happens.
Knowledge
- Knowledge bases
- FAQs
- SOPs
- Product documentation
- Internal policies
Customer Context
- Customer profile
- Account information
- Conversation history
- Preferences
- Previous interactions
Live Business Data
- Orders
- Invoices
- Payments
- Subscriptions
- Usage & account status
Business Tools
- CRM
- Billing
- Helpdesk
- Issue trackers
- Fulfillment & internal apps
Real customer requests
Customer requests ify can help resolve
Move from generic FAQ automation to workflows connected to live customer data and real actions.
“Where is my order?”
ify identifies the customer and retrieves the latest order and shipment information.
“Send me my latest invoice.”
ify retrieves the correct invoice from the connected billing system and sends it through the right channel.
“Move my delivery to Friday.”
ify checks eligibility, updates the connected delivery system, and confirms the new date.
“Change my subscription.”
ify retrieves the current plan, applies your business rules, and performs the approved update.
“What is my refund status?”
ify retrieves the current refund status directly from the relevant system.
“Update my account details.”
ify verifies the request and performs approved account changes, following your configured rules.
Resolution model
Answers are only the beginning
Different requests need different levels of AI capability. ify is built to move support toward real resolution.
Answer
“What is your return policy?”
Retrieve knowledge and respond.
Retrieve
“Where is my order?”
Fetch live data from connected systems.
Act
“Move my delivery.”
Execute an approved business-system action.
Resolve
“There is a problem with my order. Fix it.”
Gather context, decide, act, and confirm.
Omnichannel AI support
One AI customer service layer across every channel
Give customers consistent support while keeping the context needed to keep resolving the request.
Your existing stack
Works with the tools your support team already uses.
No rip-and-replace. No migration required. Add ify as a resolution layer across your helpdesk, CRM, customer data, and business systems.
Controlled actions
Built for safe customer resolution
Give AI access to the right tools while keeping business rules, permissions, guardrails, and escalation paths in your control.
Business rules
Define when actions are allowed and what conditions must be true before they run.
Customer verification
Use verified customer context before exposing sensitive information or performing actions.
Approved tools
Control which systems and actions ify's agents are permitted to use.
Guardrails
Apply rules that limit what an agent can say, retrieve, or do.
Escalation
Hand requests to the right team when automation should stop.
Human review
Keep people in the loop for sensitive or approval-based workflows.
Give customers resolutions, not just responses
Connect the systems your support team already uses and give ify the context and approved actions it needs to actually resolve customer requests.
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