Onboarding agents that watch activation events. Ticket triage agents that draft L1 replies. Churn intervention agents wired into Stripe and PostHog. SDR agents that enrich inbound leads and book meetings. Built by the team running 6+ SaaS products of our own in production.
Every growing SaaS team hits the same wall around Series A. Support headcount scales sub-linearly with users, but ticket volume grows linearly. Your CSMs are supposed to catch churn signals across 40 accounts each, but nobody actually reads every Mixpanel dashboard on Monday morning. Your SDRs spend 60 percent of their week on LinkedIn enrichment and reply drafting, not talking to prospects.
Chatbots don't fix this. Agents do. An agent watches the signals continuously, drafts the action a human would take, and either executes inside policy or escalates with full context. Your team stops doing repetitive glue work and spends time on the 20 percent that actually needs a human.
The right question is not "should we add AI". Most SaaS teams already did that with a chatbot on the marketing site. The real question is where in your ops pipeline is a human doing the same 30 minutes of work 40 times a week. That is where agents pay back inside two quarters, not two years.
Dcomply (compliance OS), Fluxeta (creator OS), VakeelSaathi (legal OS), RealZent (brokerage OS), SignupDesk (event registration), Dpublish (digital publishing). Every one of these has agents running in production for onboarding nudges, ticket triage, or churn watch. The same architecture, memory patterns and eval loops we deploy for you.
See our productsEvery SaaS company has a stack. HubSpot or Salesforce for CRM. Stripe for billing. Intercom or Zendesk for support. Slack for internal comms. Linear or GitHub for engineering. PostHog or Segment for product analytics. We wire agents into that graph, not build a parallel system your team has to babysit.
Which decision does the agent replace? Who does it today, using which tools, with what policy? We turn that into a graph before writing any code.
Every agent starts in draft-only mode. Your team reviews and approves each action for the first 2-4 weeks. Autonomy expands only after eval scores hold above 90 percent on real cases.
Policy limits on refund amounts, discount ceilings, escalation triggers, PII scrubbing. Written down. Enforced in code. Every action logged for SOC 2 review.
Guides new users through the activation flow. Watches for key events (invite sent, first integration, first report). Sends nudges if a step stalls. Escalates to the assigned CSM if activation stops for more than 48 hours.
Higher activation rateReads every inbound Intercom or Zendesk ticket. Categorizes by product area. Routes to the right queue. Drafts an L1 response with source citations for your CSM to approve or edit in one click.
40-60% L1 deflectionWatches Stripe billing signals, PostHog usage drop-offs, support ticket sentiment. Scores every account weekly. Drafts CSM outreach with a proposed concession (discount, extended trial, feature unlock) inside policy limits.
1-3% ARR savedEvery Monday, sends CSMs a one-page brief per account. Usage trend, top-3 friction points from tickets, expansion signals, red flags. Cuts weekly account-review prep from 3 hours to 15 minutes.
10x faster QBR prepEnriches inbound leads from HubSpot or Salesforce (company size, funding, tech stack, buying signals). Drafts a personalized first-touch reply. Books meetings on the rep calendar for qualified leads. Feeds full context to the CRM.
15-25 hrs/week per repTracks renewal dates 90/60/30 days out. Reads customer sentiment across tickets, usage and NPS. Drafts renewal scenarios (flat, upsell, contraction). Flags at-risk renewals to CS leadership with proposed talk tracks.
Zero missed renewalsReads incoming bug reports from Intercom, GitHub, Linear. Groups by likely root cause. Assigns severity. Drafts a customer-facing changelog when the fix ships. Your engineers stop writing the same three release notes every week.
Cleaner backlogAuto-summarizes which customer cohorts adopt which features. Runs weekly. Feeds product managers a plain-English digest: what's sticking, what's not, which segments to target for the next release.
Faster product decisions15-min call. Tell us your CS + sales stack, current pain areas, team size. We come back with a ranked list of 3 agents by ROI and a fixed pilot price in 48 hours.
Book Free 15-min CallBoring, battle-tested pieces that compose into an agent your team can actually operate six months from now. No black boxes, no vendor lock-in on the orchestration layer.
VakeelSaathi is our own legal-tech SaaS. Advocates use it to research case law, draft petitions, and manage matters. At scale (50k+ documents indexed, thousands of queries daily) we hit the exact ops wall every growing SaaS hits.
We deployed the same agent stack we sell. A triage agent reads every inbound query and routes to the right retrieval graph. A draft-reply agent handles the L1 support queue with human review. A weekly account-health agent flags advocates whose usage dropped so a human can reach out before they churn.
Result: 40 to 60 percent L1 ticket deflection. 20 to 30 percent CS capacity freed up for high-value account work. Cost per resolution dropped ~70 percent versus the pre-agent baseline. More importantly, the CSM team stopped context-switching every 15 minutes and started shipping structured expansion plays for the top-quartile accounts.
The build ran on the same LangGraph + pgvector + Claude Sonnet stack we deploy for external SaaS clients. Human-review console was live from day one. Full autonomy on categorization + routing was granted after two weeks of eval scores staying above 92 percent. Draft-reply autonomy is still gated by a CSM approval click on every message, by design.
Read the case studyLook at your stack, workflows, top 3 ops pain areas. Written feasibility with agent ranking by ROI.
One agent (usually onboarding, triage or churn watch) live in draft-only mode. Your team reviews every action.
3-5 agents wired across CS, sales and product ops. Shared memory. Human-review console. Eval dashboards. Deployment on your cloud.
Model costs, memory store, eval runs, policy tuning, escalation review, monthly capability upgrades. Flat monthly, no per-action fees.
15-min call. Tell us your CS + sales stack, top ops pain, team size. We come back with 3 ranked agent bets and a fixed pilot price in 48 hours.