Daniel Dines：“We delivered a strong start to fiscal 2027, once again exceeding our guidance across all key financial metrics.”（CEO）
Daniel Dines：“One year in, adoption has moved from early experimentation to production deployment.”（CEO）
Daniel Dines：“As one customer put it during DevCon, ‘models are easy, orchestration is not.’”（CEO）
Ashim Gupta：“Our dollar-based gross retention rates remained best-in-class at 97%.”（CFO）
Ashim Gupta：“Expansion deals that include AI were 6x larger than those that did not.”（CFO）
Prepared Metrics
Metric
Value
Speaker/Context
ARR
$1.901B, +12% y/y
CFO
Revenue
$418M, +17% y/y
CFO
Net new ARR
$49M
CFO
Non-GAAP operating income
$92M, 22% margin
CFO
GAAP operating income
$28M (first GAAP-profitable Q1)
CFO
Non-GAAP adjusted FCF
$130M
CFO
RPO
$1.413B, +15% y/y
CFO
Current RPO
$908M, +17% y/y
CFO
Gross retention rate
97%
CFO
Net retention rate
109% (108% ex-FX)
CFO
Total customers
~10,550
CFO
$100K+ ARR customers
2,624 (+11% y/y)
CFO
$1M+ ARR customers
374 (+18% y/y)
CFO
Gross margin
83%
CFO
Software gross margin
90%
CFO
Q&A Batch (1-5 of 8)
Q1 — Bryan Bergin
Topic: Demand environment and AI product ARR momentum
Key points:
Environment stable vs. Q1 guidance; pipeline health, conversion rates, and predictability positive; pilots beginning to convert.
16 of top 20 deals involved AI; agentic/AI products have strong momentum; vertical solutions (healthcare, financial services) gaining traction; agentic testing solutions also strong.
Mgmt stance: Bullish — positive on pipeline momentum and AI deal traction; environment described as "new normal" but stable.
Q2 — Scott Berg
Topic: Maestro orchestration adoption and AI deal composition
Key points:
Maestro not in every deal; used for complex process orchestration (humans, task automations, workflows, agents); task automation (RPA/API) remains separate.
Top deals: majority have significant AI component (not piecemeal); mid-tier customers show continued demand for traditional RPA; low-end (small customers, personal productivity) is a drag.
Mgmt stance: Neutral on Maestro ubiquity (not for all deals); bullish on AI contribution to growth — agentic pull is strong.
Q3 — Abhishek Murli
Topic: Revenue beat quality and pricing model mix
Key points:
Revenue beat driven by license revenue; ARR growth 12% vs. trailing 12-month revenue growth 15% — both clean and in line.
Consumption-based revenue is very small; subscription dominates; per-seat pricing not majority; server-based pricing for unattended robots is key.
Mgmt stance: Bullish — revenue quality high; mix toward larger complex use cases (server-based and subscription-based).
Q4 — Sanika Merchant
Topic: Competitive landscape, coding agents, and margin expansion
Key points:
Platform unique: modern process orchestration, 10 years of secure/gov deployment, ability to connect API and legacy systems.
Coding agents reduce implementation from weeks to hours; deterministic automation + models is key for production; platform already enabled for coding agents.
FY'27 margin expansion: growth first priority (investing in FDEs, test, vertical solutions, coding agents); efficiency from discipline and internal AI tools; no major expense seasonality except sales comp later in year.
Mgmt stance: Bullish on competitive position and margin expansion — invest-first with "waste nothing" mindset.
Q5 — Daniel Dines (answering Patrick McIlwee)
Topic: AI agents vs. deterministic automation; cannibalization risk
Key points:
Coding agents solve two hurdles: implementation time (weeks to hours) and maintenance (healing/diagnostic agents fix runtime exceptions).
AI agents cannot replace deterministic bots: probabilistic tech not reliable for hundreds of steps; regulated industries require 100% reliability.
Economically, deterministic scripts cost nothing to run vs. token-consuming agents; AI creates/fixes scripts, but deterministic execution is cheaper and auditable.
Mgmt stance: Bullish — no cannibalization; AI extends deterministic automation; platform's combination of deterministic orchestration + AI is the right enterprise model.