AI Application

AI for sales teams: customer and deal data in one place, with help preparing for meetings

In short

Sales Workspace is AI for sales teams on Phak AI. It brings customer records, deals, product specs and past work into one place, with an AI assistant that helps prepare for meetings and draft proposals. New reps can work much closer to your best sellers. It builds on the files and sales tools you already use, so nothing has to be replaced.

Web · Phak AI assistant
Question

What has this customer bought before, and what was the latest quotation?

Phak AI

Found this customer's purchase history and latest quotation. Summarized here before your visit.

Source: Past quotations in the knowledge base
A sales rep asks before a visit and gets the customer history and past quotations

What problems does AI for sales teams solve?

Sales know-how sits with a few people

How to close a deal, which specs customers prefer and lessons from past jobs live in the heads of a few senior reps.

New reps take a long time to ramp up

Before they can answer on specs, prices and stock alone, they ask senior colleagues and open many files.

Meeting prep runs out of time

Before seeing a customer, a rep has to dig through purchase history, quotes and open topics scattered across several places.

Proposals get written from scratch

Emails and proposals to corporate customers need research first, even when a similar job was done before.

How does Sales Workspace work?

Bring sales knowledge into the knowledge base

Catalogs, specs, price and stock tables, past quotes and job cases go into the central knowledge base.

Connect customer and deal data

Customer and deal data comes from the Excel files or sales tools you already use. Larger systems connect through MCP, adapted to each organization.

Ask before the meeting

A rep asks what this customer bought before, what is still open and what to offer. The answer comes with its sources.

Draft proposals for review

The assistant drafts an email or proposal from real data. The rep reviews and edits before sending.

Example questions a sales rep can ask

What has this customer bought before, and what was the latest quote?
Which models meet the standard this customer requires, and how many are in stock?
For a project like this one, which product set did we use?
Draft an email offering this product set to a corporate customer with 200 seats.
What did this customer leave open from our last conversation?

What Sales Workspace does and does not do

What Phak AI does

  • Phak AI helps reps look up specs, prices and stock for every brand in one knowledge base.
  • Phak AI helps summarize customer information and past work before a meeting.
  • Phak AI helps draft emails and proposals to corporate customers.
  • Phak AI helps keep senior reps' knowledge within reach of new hires.

What it does not do

  • It does not talk to customers in place of the rep. Everything supports the internal team.
  • It does not replace the CRM or ERP you already use.
  • It does not approve special prices or discounts in place of the person with authority.
  • It does not forecast sales or demand.

What data does Sales Workspace need?

  • Catalogs, specs and product documents for every brand
  • Price and stock tables in Excel or CSV
  • Past quotes and job cases
  • Customer list and deal status from your files or current sales tools
  • Role-based permissions, for example who sees costs and who sees only selling prices

Frequently asked questions

How is Sales Workspace different from a CRM?

A CRM stores your customer and deal records. Sales Workspace lets reps ask questions about sales knowledge in plain language: specs, prices, past jobs and customer history. It then helps prepare the meeting. It works alongside your current sales tools.

How does customer and deal data connect from our current systems?

Start with the Excel files or customer lists your team already uses. If you have a sales system or CRM, it connects through MCP, adapted to the files and systems each organization uses. Searching specs, prices and stock and drafting proposals work from the central knowledge base.

How do you measure results?

Typical measures are time for a new rep to become productive, time to prepare a proposal, questions sent to senior colleagues, and win rate. They are measured with your own numbers, before and after.

Talk to the Phak AI team

Tell us about your business. The Phak AI team will show you the systems that fit and plan the rollout with you, without replacing what you have.

1 Share your goalsWe help you rank the work where AI helps your business most.
2 See the system at workWatch it run on sample data from your business before you decide.
3 Install and go liveInstalled on your own dedicated server, connected to the systems you use.