LocusPhiAI that reads a conversation, understands intent, and knows when to hand it to a person.
For every inbound lead, message or support request, the AI reads what's actually being said, works out intent and urgency, and decides the right next step — score and route a lead, draft a follow-up, answer a question from your own knowledge base, or escalate to a person with the context already assembled. It's not a chatbot reciting scripted answers: it reasons over the specific message and your account history to decide what should happen, and it hands off the moment a conversation needs real judgement.
The workflow
Sales and support teams lose hours to work that isn't really selling or solving problems: re-reading and re-typing lead details, chasing follow-ups that fall through the cracks, and answering the same handful of questions over and over — because someone still has to read every message before anything can happen next.
How the AI reads, reasons over and responds to a conversation
AI Lead Qualification
The AI reads each inquiry, understands what the prospect actually needs, scores it against your criteria, and routes it to the right person — instead of it sitting in a shared inbox.
AI lead qualification flow
AI Outreach & Follow-up
The AI researches the prospect, generates a message personalised to their specific context, and reads responses to decide the right follow-up — so promising conversations don't go cold from delay.
AI outreach flow
AI Customer Support Agent
The AI understands the customer's question, retrieves the specific, cited answer from your knowledge base, and resolves it directly — or escalates with full context when the question needs judgement.
AI support flow
AI Email Support Automation
The AI classifies each email, extracts the relevant details, checks the customer's account context, and drafts the reply — with your team approving anything that needs a human sign-off before it sends.
AI email support flow
Where it fits
Illustrative applications across common business functions — not a list of confirmed client deployments.
Before
- A person reads and triages every lead and message by hand
- Leads sit in a shared inbox
- Follow-up depends on memory
- Same questions answered manually, repeatedly
- CRM updated after the fact, if at all
After
- AI reads, understands and scores every inquiry automatically
- AI drafts grounded, cited answers from your own knowledge base
- Follow-up sequences generated and sequenced consistently
- Escalations arrive with the AI's context already attached
- CRM stays current as conversations happen
How we deliver it
Understand
We map your process, systems, data and objectives — and where a person is currently doing work an AI could understand and reason over instead.
Design
We design what the AI needs to understand, decide and act on, and where a person stays in the loop.
Build & Integrate
We build the AI's reasoning around your business rules and connect it to the systems it needs to read from and act on.
Deploy & Enable
We test the AI against real cases, deploy it, and help your team adopt the new workflow.
Measure & Improve
We monitor outcomes and the AI's decisions, identify bottlenecks, and improve the solution as your needs evolve.
What changes for your team?
These are value dimensions we design for, not guaranteed figures. Any metric shown elsewhere is illustrative unless labelled as based on client or project data.
Your team handles the conversations that need judgement. The AI understands, drafts and decides the routine ones — consistently, and grounded in your own data.
Works with your systems
Configured for your business
We configure this solution around the way your organisation already operates.