AI for B2B SaaS

Ship product faster without growing the team.

We engineer the AI layer around your product - support, onboarding, and renewal signals running in the background so your team stays on the roadmap, not in the queue.

Get your B2B SaaS blueprint ↳ 30-min audit · zero obligation

The outcome

60%

of tier-1 tickets resolved before a human sees them

↳ The Product-Ops Autopilot

[ 000 ]Trusted by operators

[ 01 ]The status quo

What this costs you today.

Right now you're doing one of four things, and all of them tax the roadmap: pulling engineers into the support queue, bolting a generic chatbot onto your docs, manually chasing activation, or finding out an account is gone at the renewal call.

Tier-1 tickets pull senior engineers out of deep work, every single day.

A horizontal SaaS chatbot answers the easy 60% and confidently invents the rest.

Activation and churn are decided inside the product - but nobody's watching the event stream in real time.

You learn an account is leaving at the renewal call, too late to save it.

[ 02 ]What we build for B2B SaaS

The systems, named and shipped.

SaaS leaks more buying signal than any vertical - funding, hiring, tech-stack shifts, product events - and has a clean event spine to ground agents on. We build the systems that exploit exactly that, shipped into your repo.

★ Flagship · built for B2B SaaS

In-product activation & churn-intervention agent

Reads your product-event stream to catch at-risk and expansion-ready accounts the moment the signal fires, then triggers the right in-app nudge, lifecycle email, or CSM alert. The 2026 gap isn't prediction - it's execution speed. This closes it.

GTM / Sales

Signal-based outbound agent

Watches funding rounds, hiring spikes, and tech-stack shifts, then fires a personalized opener referencing the trigger inside the 48-hour window where replies spike.

Enrichment & ICP-fit engine

A 75-source data waterfall that enriches every inbound and target account, scores ICP fit, and dedupes before anything reaches the CRM.

PQL-to-pipeline router

Turns product-qualified-lead events - activation milestones, seat expansion, usage thresholds - into scored, routed, sales-ready alerts in real time.

Sales-call analyst

Transcribes calls, extracts deal risk and MEDDIC fields, and writes the next steps straight back to the CRM.

Content / Marketing

Content engine in your voice

Turns positioning and product docs into on-brand long-form, trained on the founder's voice and fact-checked against real product capabilities.

GEO / AEO visibility system

Structures content to get cited by ChatGPT, Gemini, and Google AI Overviews, and tracks share-of-voice against competitors across answer engines.

Repurposing pipeline

One launch or blog becomes 15-25 derivative assets - threads, carousels, clips, newsletter - in your voice, on schedule.

Internal Ops

RAG company brain

Retrieval over your docs, Slack, Notion, tickets, and code so anyone gets a cited answer in minutes instead of pinging the team.

Support-deflection agent

Answers product questions from your docs and past tickets, and escalates only the genuinely novel ones.

Board & investor reporting agent

Assembles MRR, NRR, funnel, and usage into a board-ready update straight from the source systems.

[ 03 ]How we build it

Engineered, owned, operated.

Map your workflow

We trace how your team actually works - the inputs, the decisions, the systems - before writing a line. The system of work is the moat, and we engineer it deliberately, not generically.

Build & ship to your repo

We build the agents and the grounded data layer, wire them into your tools, and ship the code into your repository - not a no-code platform you can never leave.

Ground, guardrail, review

Every system answers from your verified data, is gated by guardrails and human review on the decisions that matter, and is backed by evals before you trust it in production.

Host, operate, evolve

We deploy on real infrastructure (Railway, Vercel, Cloudflare), operate it in production, and tune it every month as the models move. Built once, yours forever.

[ 04 ]By the numbers

3-5×

higher positive reply rates from signal-triggered outbound vs static lists (industry, 2026)

25-45%

of tier-1 ticket volume deflected before it reaches a human

8-12pt

NRR lift associated with AI churn + expansion programs, industry-wide

↳ Industry benchmarks, not Anfloy client metrics - we report your real numbers once you're live.

[ 05 ]The offer

The Product-Ops Autopilot

A working support, activation, and retention layer wired into your product and stack - shipped to your repo and running on your infra, not waiting in a slide deck.

Get your B2B SaaS blueprint

+RAG support agent grounded in your docs, tickets, and past resolutions

+In-product onboarding + activation nudges tied to real usage signals

+Account-health scoring + churn radar wired to Slack and your CRM

+Changelog + release notes drafted from your merged PRs

+Hosted on your infra - Railway, Vercel, or ours - and yours forever

[ 06 ]Why Anfloy

Versus what you'd do instead.

· What matters

· In-house or off-the-shelf

· Anfloy

Time to value

Months to hire + ramp a team, or a SaaS tool that stops at 60%

Shipped in weeks - the full system, not a fraction

The AI

Generic and identical for every customer

Engineered to your workflow, your data, your edge

Ownership

Rented - it lives in their UI, on their terms

In your repo. Built once, yours forever

Where it runs

Their cloud, or your infra as your problem to run

Your infra - deployed and operated by us

Maintenance

Another full-time hire, or you wait on their roadmap

We tune it monthly as the frontier moves

Cost shape

Salaries, or a per-seat tax that scales with usage

A fixed build - an asset on your books, not a tax

Time to value

In-house / off-the-shelfMonths to hire + ramp a team, or a SaaS tool that stops at 60%

AnfloyShipped in weeks - the full system, not a fraction

The AI

In-house / off-the-shelfGeneric and identical for every customer

AnfloyEngineered to your workflow, your data, your edge

Ownership

In-house / off-the-shelfRented - it lives in their UI, on their terms

AnfloyIn your repo. Built once, yours forever

Where it runs

In-house / off-the-shelfTheir cloud, or your infra as your problem to run

AnfloyYour infra - deployed and operated by us

Maintenance

In-house / off-the-shelfAnother full-time hire, or you wait on their roadmap

AnfloyWe tune it monthly as the frontier moves

Cost shape

In-house / off-the-shelfSalaries, or a per-seat tax that scales with usage

AnfloyA fixed build - an asset on your books, not a tax

[ 07 ]Where it plugs in

Wired into your stack.

HubSpotSalesforceAttioIntercomZendeskStripeSegmentSlackNotionSnowflakeClaySmartlead

[ 08 ]Questions

The honest answers.

Q01

Will the support agent hallucinate answers?

No. It's a retrieval-grounded RAG system that only answers from your verified docs, help center, and past tickets - and it's built to say "let me get a human" rather than guess. You see every source it cited, and you set the confidence threshold for handoff.

Q02

Do we have to rip out our current stack?

No. We build around what you already run - Intercom or Zendesk, HubSpot or Attio, Slack, your data warehouse. The agents plug into your tools through their APIs; nothing gets replaced unless you want it to.

Q03

Won't AI on top of messy product data just give confident wrong answers?

That's the failure pattern we design against. We ground the agents only in sources you've verified, scope what each one is allowed to act on, and instrument every answer - so you get traceable output, not a black box guessing at scale.

Q04

How fast until something is live?

The first workflow - usually support deflection on a slice of your docs - typically ships within two to three weeks. You watch it run on real tickets before we expand to activation and churn radar.

Q05

Who owns the system you build?

You do. Everything ships into your repo and runs on your infrastructure or accounts. Built once, yours forever - if you ever part ways with us, the system keeps running.

[ 09 ]Other industries we build for

RevOpsRevenue OperationsWe engineer the autonomous layer under your revenue stack - enrichment, hygiene, routing, scoring, and forecasting that run without a single manual touch, so reps sell instead of maintaining a CRM.Professional ServicesProfessional ServicesWe engineer the back office of your firm - proposals, intake, reporting, and a firm-wide knowledge base that run in the background so your people stay on billable work.AgenciesAgenciesWe automate the parts of agency life nobody wants to do - reporting, content ops, and client comms - so your team ships work and proves ROI, not busywork.

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audit.