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
From signed to producing in 48 hours
One tested change every 48 hours, you approve what goes out. Focused and compounding, not chaos.
Blueprint
paid setup, 48 hours
We capture how your business works and your voice, pick the first process, and put the first agent to work.
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 one tested improvement every two days, 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
$1,500
one time
AI Workforce Blueprint
- →Map your process and your voice
- →First agent live within 48 hours
- →Your own isolated environment
- →The qualifier. You see it work first.
$3,000
per month
Core
- →Unlimited agents, unlimited usage
- →One tested change every 48 hours
- →Chat control, business-hours monitoring
- →Standard integrations
$5,000
per month + optional success share
Plus
- →Everything in Core
- →Priority lane, weekly working session
- →Optional success share on results
- →Monthly result report
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 agent in production within 48 hours, then one tested improvement every 48 hours after that.
// ready
Put one process on autopilot in 48 hours
A short discovery call. Tell us the work that drains your team and we will show you the agent that runs it. No deck.