By Team · Sales & Operations Leaders
Win more, and know exactly why.
Tailored responses win more of the deals you're in, insights show you exactly where you win and lose, every rep is enabled with instant answers, and your team gets its time back. More wins, sharper strategy, less grind.
Win more of the deals you're in
Buyers see
themselves in the proposal.
Three layers of intelligence
Tailored, not templated
Every response blends deal intelligence from your CRM and calls, your approved content library, and research from the web, so the answer speaks to this buyer, not a generic boilerplate.
Their language, their priorities
Reflected back
Iris pulls the buyer's stated requirements, pain points, and success criteria into the response. Evaluators recognize their own words, and score it higher.
Higher win rates
Not just faster
Speed gets you more shots on goal. Tailored, on-message responses convert more of them, so the same pipeline produces more closed-won deals.
See where you win and lose
Every response
makes the next one smarter.
Win-rate patterns
Know exactly why you win.
"74% win rate when cloud implementation is mentioned." The differentiators and verticals that actually convert, surfaced from your own deal history, so your team leans into the plays that close.
Where deals slip
And exactly why you lose.
The capability gaps and competitor mentions behind your no-decisions and losses — the features buyers keep asking for that you can't yet provide, and the RFPs that look pre-baked for someone else.
Proof for leadership
The numbers behind
your pipeline.
Deal value impacted, cycle time, win rate, and a deal leaderboard — the ROI your proposal team is driving, ready for QBRs and forecasts without building a slide.
Reduce time in the RFP process
Get reps out of the weeds.
Out of the proposal weeds
Removed from the loop
Sales Engineers and AEs lose days per deal to coordination, drafting, and chasing SMEs. Iris removes them from that loop entirely.
Faster cycle times
More pipeline coverage
Average proposal cycle shortens by 60%. Your team takes on more pipeline without growing headcount.
Reps stay in front of buyers
The work they're paid for
POCs, demos, executive readouts, closing, the work they're paid for gets the time it deserves.
Fills the pipeline
GovSpend integration
Iris connects to GovSpend to surface public-sector RFPs and bid opportunities that fit your business, so your team spends its time on deals worth winning, not hunting for them.
Enable every rep
Instant
access to knowledge.
On a sales call
Answer in seconds
Ask Iris a SOC 2 question, a PTO question, a release-note question, answer in the rep's hands in seconds, with sources.
Prepping for a call
On demand
Reps pull case studies, competitive positioning, and product details on demand, wherever they work: Iris MCP, Slack/ Teams, the browser.
Ramping a new hire
From day one
New reps onboard from day one against your living knowledge map. They don't wait on tribal knowledge or hunt through old Slack threads for answers.
Strategy data, automatically
Real signal
Win-loss analysis, capability gaps, competitive trends, feed your QBRs, forecasts, and roadmap conversations with real signal.
How revenue leaders use Iris
The outcomes.
Outcome
Reps sell, they don't format
Pull your team out of the proposal weeds. Faster cycles mean more pipeline coverage per rep, and more time in front of buyers.
Outcome
Every rep, instantly enabled
Product, security, and competitive answers in the channels reps already work, so new hires ramp faster and the whole team sells smarter.
Outcome
Strategy from real signal
Win-loss analysis, capability gaps, and competitive trends generated from your own deals feed your QBRs, forecasts, and roadmap.
Customer story · Centralized knowledge
See how BuildOps
gave every rep one searchable source of truth.
Scattered content and tribal knowledge replaced by a single searchable hub — so new reps ramp from day one and the whole team reuses accurate, up-to-date answers.
See it live
Insights on real data.
15 minutes. We'll show the Insights view on real customer
data.
