Alfred for Sales
Your sales data, synthesised into decisions.
Alfred learns from every deal your company has ever closed and applies that learning to every deal currently open — so your team executes with intelligence, not instinct.
94%
forecast confidence
3×
faster signal → action
Needs Attention · live
today · 08:40
Q2 COMMIT
£1.84M
DEALS AT RISK
3
NEEDS YOU
Meridian SaaS — champion silent 12 days, economic buyer not engaged. 8 of 11 similar deals lost. Stage probability revised 68% → 42%.
Review
Send exec intro
HANDLED THIS MORNING · NO ACTION NEEDED
Surfaced Nexus Corp — intent 84, pricing page ×4. Outreach drafted and ready to send.
revenue signal · prospect
Flagged Orbit Analytics — champion opened the last three emails 0× in 9 days. Nudge queued.
deal deviation · early warning
Updated the Q2 forecast — 3 deals moved commit → upside on new signal, grounded in win history.
forecast intelligence
7 deals watched · 1 needs you
£1.84M commit
Sales Play Engine
Deal Deviation
Signal Heat
Forecast Intelligence
Coaching Intelligence
Pre-Meeting Intelligence
Post-Meeting Automation
Pipeline Intelligence
The agents
The agents running your revenue operation, every day.
Each agent owns one part of the revenue cycle and shares its signals continuously — so one event triggers one coordinated response, not six separate alerts.
Learns
Sales Play Agent
Reverse-engineers every closed-won and closed-lost deal into the patterns that predict outcomes at your company, and rebuilds on every close.
WIN PATTERN · REBUILT ON CLOSE
Economic buyer engaged
58%
Multi-thread ≥ 3 stakeholders
72%
Protects
Deal Deviation Agent
Watches every live deal against your winning patterns and flags the moment one drifts — silent champion, missing economic buyer, competitor on day 34 — with the corrective action attached.
DEVIATION · LIVE
Meridian SaaS — champion silent 12d
Win probability
68%
→
42%
Scores
Revenue Signal Agent
Monitors buying-intent signals inside live deals — pricing-page revisits, dropping email opens, a new stakeholder — and scores each deal’s momentum into Signal Heat.
SIGNAL HEAT
On Fire
Nexus Corp
pricing ×4
LinkedIn ×2
Coaches
Coaching Intelligence Agent
Benchmarks every rep against your top performers continuously, and generates a data-backed 30-day plan for whoever needs it.
COACHING · JAMIE WALSH
Rep — economic buyer engaged
22%
Top performers
71%
Forecasts
Forecast Intelligence Agent
Replaces stage-weighted CRM guesses with deal-level probabilities grounded in your own win history, updating in real time as signals change.
Q2 FORECAST · 94% CONF.
AI-grounded commit
£1.84M
CRM stage-weighted
£2.64M
Briefs
Daily Brief Agent
Composes the leader’s morning revenue brief: the deals needing intervention today, the reps flagging coaching needs, and forecast movement since yesterday.
THIS MORNING · 3 ITEMS
1 deal needs intervention
1 rep flagged for coaching
Forecast moved +£140k
What’s inside
From the first intent signal to the signed contract.
Alfred runs your entire revenue operation from one place — the rep’s job shifts from researching to reviewing, the leader’s from assembling data to acting on it.
Pipeline · live
12 open deals · Q2
DEAL
STAGE
SIGNAL HEAT
DAYS
NEXT STEP
Nexus Corp
Negotiation
On Fire
4d
Send MSA redline
Helios Group
Commit
Hot
3d
Confirm close plan
Orbit Analytics
Discovery
Warm
6d
Book technical demo
Meridian SaaS
Proposal
Cooling
12d
Re-engage champion
Home Cockpit
Five live KPI cards and a Pre-Meeting, Post-Meeting, and Needs-Attention feed, AI-ranked by a composite impact score.
Pre-Meeting Intelligence
Stakeholder intel, a time-blocked agenda, role-specific discovery questions, and risk flags — before every call.
Post-Meeting Automation
Auto-drafted follow-up, CRM tasks, and a proposed stage update. The rep reviews and approves rather than creates.
Prospect Signal Feed
Pre-funnel accounts triggering organic intent — pricing visits, LinkedIn, webinars, job changes — each with a full action playbook.
Pipeline Intelligence
A live deal table with Signal Heat, days-in-stage, and Alfred’s next step per deal — with the reason attached.
Dashboard & Coaching
KPI cards, a deal-progression chart, and a rep leaderboard, each rep backed by a coaching panel from their own history.
Built for
Where the deals that close share a shape.
Sales is pattern recognition at scale. Alfred learns the shape of a win in your market and applies it to every open deal.
B2B
Multi-stakeholder deals where the economic buyer, the champion, and the timing decide the outcome — and a silent thread is an early warning.
SaaS
Where closed-won is only the start: the same pattern intelligence carries into expansion and churn signals, not just new logos.
FinTech
Longer cycles, more stakeholders, higher scrutiny — a forecast leadership can defend has to be grounded in your own win history, not a stage weight.
How it works
Alfred works for you, works with you.
01
Connect
Reads your revenue stack
Connects to your CRM, email, calendar, and LinkedIn signals in days — read-only to start, zero engineering.
02
Analyse
Learns your win patterns
The Sales Play Engine reverse-engineers every closed deal your company has won and lost — and rebuilds on every close.
03
Recommend
Proposes the move
Deal-level actions with the pattern evidence attached, because a rep won’t act on a number they can’t verify.
04
Execute
Runs it, once it’s earned
Drafts the outreach, books the tasks, updates the stage — autonomously only after the call has proved itself.
10 proposals · 95% accepted
Alfred earns its autonomy. A new call doesn’t run on its own from day one — Alfred proposes it, watches you accept or correct it, and only begins acting unattended once it’s made that call at least ten times and been right at least ninety-five percent of them. Until then, you’re in the loop by default.
The outcomes
Built to change how revenue leaders decide.
of Alfred’s proposals accepted before it earns autonomy on a call.
confidence on the deal-level forecast — grounded in your own win history.
proposals a new call must prove before it ever runs unattended.
Security
Enterprise-grade security, glass-box by design.
Data isolation
Your CRM and revenue data live in a logically isolated Alfred environment — never shared infrastructure.
Private pattern library
Your Sales Play is built from your deals alone, into a library only you can see.
No cross-customer training
Your data does not train shared models, shared benchmarks, or playbooks sold back to anyone.
Foundational model usage
We use API access to foundational models as inference infrastructure — not to pool your data.
No third-party data sharing
Your revenue data is not sold, licensed, or made accessible to third parties for any purpose.
CRM writes under your control
Every update Alfred posts back is traceable, reversible, and gated by the permissions you set.
Your data is not our product. Your subscription is our product.
FAQ
Questions, answered.
