Sales Solutions
Your sales team spends 40% of their time on work that shouldn't require a human.
2.5 hrs
daily on research & data entry
60%
leads never properly researched
$138K
fully loaded SDR cost
These four solutions eliminate the manual overhead from your sales operation — so your reps spend time selling, not preparing to sell.
4 Solutions
Lead Enrichment Pipeline
A new lead comes in. Your best rep spends 45 minutes researching the company, scoring the fit, and writing a personalised email. Everyone else spends 10 minutes and sends a generic template. The result? Inconsistent outreach, missed opportunities, and your highest-paid people doing work a machine should handle.
Solution Stack
Company Research Agent
Scrapes website, LinkedIn, Crunchbase. Extracts revenue, headcount, tech stack, recent news.
Prospects Table
14 columns, 4 AI-enriched. Stores all lead data with automated scoring and outreach drafts.
Lead Qualifier Agent
Scores fit against ICP criteria. Assigns priority tier (Hot / Warm / Nurture / Disqualify).
Maya — Sales Ops
Orchestrates the full pipeline. Assigns to reps, drafts personalised emails, handles follow-ups.
Before vs After
New lead lands in CRM
Rep opens LinkedIn (5 min)
Rep checks company website (10 min)
Rep searches Crunchbase/news (10 min)
Rep manually enters data into CRM (5 min)
Rep scores the lead mentally (5 min)
Rep writes personalised email (15 min)
Rep sends email and logs activity (10 min)
Inconsistent across reps
New lead triggers pipeline automatically
Company Research Agent enriches all fields
Data written to Prospects Table (14 columns)
Lead Qualifier Agent scores against ICP
Priority tier assigned (Hot/Warm/Nurture)
Maya drafts personalised email from research
Email queued for rep approval (one click)
Activity logged, follow-up scheduled
Every lead gets the same depth
ROI Calculator
| Leads per month | 200 |
| Time per lead (before) | 60 min |
| Time per lead (after) | 2 min |
| Time saved per lead | 58 min |
| Total hours saved / month | 193 hrs |
| Blended hourly cost | $65/hr |
| Monthly savings | $12,545 |
| Annual savings | $150,540 |
| Additional capacity | 10x more leads processable |
“At 200 leads/month, this solution saves one full-time equivalent in research hours — every month.”
Deal Intelligence & Pipeline Management
Sales managers spend 3 hours every Monday manually pulling deal data from the CRM, cross-referencing it with activity logs, and building a pipeline summary for the team meeting. By the time it’s ready, the data is already stale. Reps don’t update deals in real time, stale opportunities sit unnoticed for weeks, and forecasting is based on gut feel rather than data.
Solution Stack
Deal Intelligence Agent
Pulls deal data, analyses engagement signals, calculates velocity and health scores.
Pipeline Health Agent
Flags stale deals (>7 days no activity), identifies at-risk opportunities, spots gaps.
Deals Table
12 columns. Deal name, stage, value, last activity, health score, days stale, next action.
Maya — Sales Ops
Scheduled Monday 7AM pipeline brief. Condition trigger: flags deals when Days Stale > 7.
Before vs After
Manager opens CRM Monday morning
Exports deal data to spreadsheet (20 min)
Cross-references activity logs manually (30 min)
Calculates pipeline movement by hand (20 min)
Identifies stale deals from memory (15 min)
Builds slide deck for team meeting (30 min)
Presents static data (already outdated)
No follow-up system for flagged deals
Static, outdated by meeting time
Deal Intelligence Agent runs Sunday night
All deals scored and health-checked automatically
Deals Table updated with current velocity data
Pipeline Health Agent flags stale/at-risk deals
Maya sends pipeline brief to Slack (Monday 7AM)
Manager reviews brief before team arrives
Real-time alerts when deals go stale (>7 days)
Reps get nudges with suggested next actions
Real-time, always current
ROI Calculator
| Manager hours saved / week | 3 hrs |
| Annual manager hours saved | 150 hrs |
| Manager hourly cost | $85/hr |
| Annual manager time savings | $12,750 |
| Stale deals caught (avg per month) | 8-12 deals |
| Avg deal size recovered | $15,000+ |
| One recovered deal ROI | Pays for a year of the platform |
“One recovered deal pays for a year of the platform.”
Outreach Automation at Scale
Your top rep writes personalised emails that convert at 18%. Everyone else converts at 4%. The difference isn’t talent — it’s research depth and message relevance. But your best rep can only send 30 emails a day. Meanwhile, the rest of the team blasts generic templates that damage your brand and waste prospects’ attention.
Solution Stack
Sales Outreach Team
3 agents working together: Research Agent → ICP Analyst Agent → Outreach Writer Agent.
Outreach Pipeline Table
Tracks every prospect: research data, ICP score, draft email, approval status, send status.
Row Created Trigger
New prospect added → automatically kicks off the 3-agent outreach team.
Rep Approval → Gmail Send
Rep reviews and approves with one click. Email sends via connected Gmail.
Before vs After
Rep picks prospect from list
Researches company manually (15 min)
Checks ICP fit by memory (5 min)
Writes personalised email (15 min)
Reviews, edits, sends (5 min)
Top rep: 30 emails/day at 18% conversion
Average rep: 80 emails/day at 4% conversion
No consistency in quality or messaging
4-18% conversion (wildly inconsistent)
Prospect added to Outreach Pipeline Table
Research Agent enriches company data
ICP Analyst scores fit and identifies angles
Outreach Writer drafts personalised email
Rep reviews draft (30 seconds)
One-click approval sends via Gmail
500+ personalised emails / month
Every email has top-rep research depth
12%+ conversion (consistent)
ROI Calculator
| Emails per month | 500 |
| Previous conversion rate | 4% |
| New conversion rate | 12% |
| Additional meetings / month | 40 |
| Average deal value | $8,500 |
| Close rate | 25% |
| Additional monthly revenue | $85,000 |
| Additional annual revenue | $1,020,000 |
“Give every rep the research depth and writing quality of your best performer — at 15x the volume.”
Competitive Intelligence Monitoring
Your reps are losing deals to competitors they didn’t know had released a new feature last week. Your product team hears about competitive moves from customers instead of internal intelligence. Someone subscribes to a few newsletters and manually checks competitor websites when they remember — which is never consistently enough.
Solution Stack
Competitive Intelligence Agent
Monitors competitor websites, press releases, product updates, pricing changes, job postings.
Competitive Intelligence Table
Competitor, update type, date detected, summary, impact assessment, suggested response.
Schedule Trigger (Sunday 10PM)
Weekly automated sweep of all tracked competitors. Results written to table.
Weekly Brief to Slack
Formatted competitive intelligence digest sent to #sales-intel channel every Monday.
Before vs After
Someone remembers to check competitors (maybe)
Manual website browsing (30 min / competitor)
Checks social media and press releases
Writes summary in a doc nobody reads
Information stays siloed with one person
Reps discover competitive moves from prospects
No systematic tracking or history
Paying $200-500/mo for tools that still need manual review
Sporadic, incomplete, siloed
Competitive Intelligence Agent runs Sunday 10PM
All tracked competitors scanned automatically
Changes detected and classified by impact level
Results written to Competitive Intelligence Table
Weekly digest formatted with actionable insights
Posted to #sales-intel Slack channel Monday morning
Full history searchable in table
Reps go into calls armed with latest intel
Systematic, complete, shared
ROI Calculator
| Replaces competitive intel tools | $200–500/mo |
| Rep time saved per week | 5 hrs |
| Annual rep time savings (at $65/hr) | $16,900 |
| Win rate improvement | 15–20% |
| Deals saved by better intel (est.) | 2–4/quarter |
| Revenue impact at $15K avg deal | $30K–$60K/quarter |
“Your reps should never walk into a call not knowing what the competition shipped last week.”
Combined Impact
Deploy all four and your sales team gets back 250+ hours per month.
Each solution works independently, but they compound when deployed together. The Prospects Table feeds the outreach pipeline. Deal intelligence catches what enrichment surfaces. Competitive intel sharpens every email.
250+
hours saved / month
$150K+
annual cost savings
$1M+
potential revenue impact
4 hrs
to deploy all four
Which solution does your operations team need most?
Pick one. We’ll show you exactly how to deploy it — the agents, the tables, the employee configuration — in 30 minutes. Running in production this week.
Tell us your department and we’ll walk you through the exact configuration for your use case.