AI + Communication
AI triage, lead routing, internal search, and conversational workflows on WhatsApp, SMS, and web — so first-response is instant and handoff to the team is clean.
Common use cases
When this pillar becomes useful
Lead triage and routing
A service business that receives many early enquiries but loses time asking the same qualification questions.
Outcome
AI captures the first context, routes the lead, and hands off to a human when the request is qualified or sensitive.
WhatsApp customer assistance
A retailer or operator whose customers ask order, availability, price, delivery, or support questions through WhatsApp.
Outcome
Common questions get fast answers while the team keeps control of escalation, exceptions, and customer records.
Internal knowledge assistant
A team with SOPs, policies, product information, or repeated internal questions hidden across documents and messages.
Outcome
Staff can search approved knowledge quickly, with guardrails around what the assistant can and cannot answer.
Problems we hear most often
If any of these sound familiar, this pillar is the right place to start.
Slow first response losing leads to faster competitors
Repetitive WhatsApp questions consuming the team
No structured handoff between marketing, sales, and support
Internal knowledge that nobody can search through
What is included
Capabilities inside this pillar
AI lead triage and qualification on WhatsApp and web chat
Conversational FAQ and self-service for customers
Lead routing and CRM sync
Internal search and knowledge assistants for teams
Workflow automation across email, sheets, and APIs
Safety guardrails, monitoring, and human handoff
Workflow example
Before, build, after
The useful question is not only what feature gets built. It is what changes in the way customers, staff, payments, and records move through the business.
Before
Customers wait for replies, staff repeat the same answers, and good leads are mixed with incomplete or low-fit requests.
Build
We define the allowed tasks, knowledge sources, escalation rules, logging, and handoff flow before adding AI into the channel.
After
First response is faster, repetitive handling drops, and the team receives cleaner context before taking over.
Infrastructure inside this pillar
The rails we wire in when the workflow needs them
Good fit when
You already know the common questions, lead stages, or support categories.
The team needs faster first response but still wants human control.
WhatsApp, SMS, web chat, email, or CRM handoff matters to the workflow.
Not the best starting point when
You want AI to make sensitive decisions without review or clear rules.
There is no approved source of truth for answers, pricing, policies, or escalation.
Example deliveries
What this looks like in practice
Service-business AI triage
Always-on lead capture, FAQ handling, and qualified handoff to sales — across WhatsApp and the website.
Retail WhatsApp order triage
AI-assisted intake for product questions, order status, and handoff from WhatsApp into the sales workflow.
Admissions enquiry assistant
AI that answers common parent questions about fees, terms, and applications, then books a school tour.
Scoping inputs
What makes planning faster
You do not need perfect documentation before a call. These are the practical details that help us recommend the right starting build and avoid unnecessary scope.
Top customer questions, lead qualification rules, and escalation triggers.
Approved documents, product data, FAQs, policies, or scripts the AI can use.
Channels to connect: WhatsApp, web chat, SMS, email, CRM, or sheets.
What must always be handed to a human.
Buyer questions
Questions that usually come up
Will AI replace the team?
No. We design it to handle repeatable first-response and routing work, then hand over with context when judgement, pricing, or exceptions matter.
How do we prevent bad answers?
By limiting the assistant to approved sources, defining escalation rules, logging conversations, and testing edge cases before launch.
Industries we know best for this pillar