Data isolation
I work with your company data in a logically isolated environment, separate from other customers’ data.
Alfred for Sales · In development
I’ll turn what wins deals for your team into clear next steps, timely follow-ups, and coaching every rep can use.
Here’s what I take care of
Your strongest reps have habits worth sharing. I’m being built to identify those patterns and help the rest of your team apply them to the deal in front of them.
Signal
I’ll look for missing meetings, slipping dates, and changes in buyer engagement, then show your rep what to check.
Pattern
I’ll compare the opportunity with your earlier deals and suggest questions, people, or steps worth considering.
Next move
I’ll draft a follow-up or suggest a coaching point, with the deal history that explains it. Your rep or manager will choose what to use.
Bring the buying team into the next conversation.
Meet my specialists
I give each job a specialist. Choose one to see what I use, what I prepare, and what your team gets back.
Review the business case invitation with the deal owner before contacting the buyer.
Sales pricing
Tell my team where reps need help with deal preparation, follow-ups, or coaching.
My team will walk you through the planned capabilities and discuss what fits your sales process.
Sales connections
Explore the CRM, calendar and communication tools that will bring your deal context together.
6 connections to explore
Here’s what to check about account access, plan availability, and setup.
I need an authorized person from your team to connect the account. Review the requested access together during setup.
Security and human control
I keep your company’s context private and work within defined boundaries for models and connected tools. Here’s what that means for your team.
I work with your company data in a logically isolated environment, separate from other customers’ data.
I keep your organisation’s history, decisions, signals, and outcomes in a private pattern library for your own team’s work.
Your data is not used to train shared models or build shared recommendation systems, benchmarks, or playbooks.
I access foundation models through APIs to process requests and generate responses. This use, called inference, does not train shared models on your company data.
Your data is not sold, licensed, or shared with third parties for training, benchmarking, resale, or commercial intelligence.
Your subscription pays for my work. Your customer intelligence and the patterns I learn for your organisation are not sold or commercialised.
I use the information your work needs and stay within the access you grant.
I start with read access. My analysis does not change records in your source systems.
Define the systems, accounts, and data needed for the work. Request only the access and signals that workflow requires.
Changing a connected system requires explicit permission and approval. A prepared recommendation is not permission to act.
Review connection permissions during setup and when your needs change. Ask the team about access revocation, disconnection, and the controls included in your plan.