saas · b2b software & tech
Scale support and pipeline without scaling the team
SaaS teams hit the same wall: support volume grows with the user base, pipeline needs constant feeding, and the data team is a queue. We run that work so engineering and CS focus on the product and the customer.
// the work that drains you
What we take off your plate
In a software company the repetitive load scales with growth: tickets, trials to chase, the same product questions, the same data pulls. Here is what we take off your plate and the agent that runs it.
[01]
Support volume scales with signups, so every growth month means another hire or a worse queue.
solved by AI Customer Support Agent
[02]
The same product questions get answered from scratch instead of from your own docs.
solved by AI Support Ticket Agent
[03]
Trial and inbound signups go unworked because there is no SDR capacity to chase them fast.
solved by AI SDR & Enrichment
[04]
Every product or revenue question becomes a ticket for the data team and a multi-day wait.
solved by Data Analyst Agent
[05]
Customers want answers from your documentation now, not a back-and-forth with support.
solved by AI RAG Chatbot
// agents that run this
The agents we deploy here
// support
AI Customer Support Agent
Handles tickets without burnout. Collects tickets, checks context and drafts responses for human review.
Ticket volume
-40%
CSAT score
+15%
// support
AI Support Ticket Agent
Automatically fetches tickets, searches your documentation, trains itself on your knowledge base and drafts responses for approval.
First response
Minutes
Coverage
Every ticket
// sales
AI SDR & Enrichment
Finds prospects, enriches data via external APIs, qualifies them against your ICP and updates HubSpot automatically.
Lead coverage
100%
Lead response
4x faster
// operations
Data Analyst Agent
Ask a question in plain English in Slack, get a SQL query, chart and answer back from your warehouse. Ad-hoc analysis without waiting on the data team.
Query response
< 1 min
Reports / week
Auto
// operations
AI RAG Chatbot
Upload documents to Pinecone, automatically tag and organize them, then let users chat naturally with their data and find answers instantly.
Search accuracy
95%+
Query speed
< 2 secs
Unlimited agents on every plan. Most teams start with one, prove it, then add the next.
// integrations
Works inside the tools you already use
1000+ integrations supported · your stack, your data
// how it works
First measurable results live in 30 days
At least one live change every two-week sprint, you approve what goes out. Focused and compounding, not chaos.
Roadmap month
month 1, included
We interview every department, capture how your business works into a living process map, and present your 12-month roadmap to the board.
Live
always on
The agent runs the work 24/7 inside your own systems. You approve anything that goes out until you trust it.
Improve
focused, tested
Request anything. We ship at least one live change every two-week sprint, worked in order. No scope chaos.
Expand
it compounds
Once one process runs itself, point us at the next. The workforce grows without growing your headcount.
// pricing
One flat fee. No token meter
Core
30–50 employees · 3 mo minimum, then monthly
- →1 active lane of AI system work
- →Bi-weekly sprint session + monthly review
- →Monthly impact report, alerts & monitoring
- →Roadmap month included
Scale
50–250 employees · 3 mo minimum, then monthly
- →2 active lanes in parallel
- →Multi-department, adoption per department
- →Same sprint rhythm + quarterly review
- →Roadmap month included
Enterprise
250+ employees · on request · 3 mo minimum
- →Active lanes scoped to your roadmap
- →Board-level rhythm + business case per agent
- →Governance & AI policy included
- →On-location training included
3 month minimum, then month to month · you keep your accounts and data
// proof
Shipped and still running
// support
Volume down, CSAT up
Tickets collected, context checked and responses drafted for review, so the queue stops growing with the user base.
// sales
Every signup worked fast
Inbound and trials enriched, qualified and chased in minutes, so pipeline stops leaking on day one.
// operations
Self-serve analytics
Plain-English questions answered from the warehouse in under a minute, no analyst in the loop.
// questions
The honest answers
Will it answer customers directly?+
As far as you allow. It drafts for review by default and you widen autonomy per flow once it has earned trust. You stay in control of what ships to a customer.
Can it use our docs and knowledge base?+
Yes. It trains on your documentation and knowledge base and cites sources, so answers match your product, not a generic model.
Does it integrate with our stack?+
Yes. Helpdesk, CRM, docs, warehouse. It works inside the tools you already run, not a separate app.
How fast is it live?+
First measurable results live within 30 days, visible in your portal. After that, at least one live change every two-week sprint.
// ready
Turn your first process into an AI process
A short discovery call. Tell us the work that drains your team and we will show you the system that runs it. No deck.