AI and automation for SaaS and tech scale-ups
Tech companies are not short of AI. They are short of anyone who owns the operations around the product. Trial sign-ups sit for two days before a person looks at them, the CRM is a graveyard of deals with no next step, support lives in a shared inbox, and the founder loses a weekend a month building the board deck. Every engineer could fix this and none of them will, because the roadmap always wins.
Book the free AI consultationAstraeus builds the operating layer for funded SaaS and tech companies with roughly 10 to 49 people, Irish or remote-first. The work sits around the product rather than inside it: qualifying and routing inbound the hour it arrives, keeping the CRM honest without anyone typing into it, triaging support and surfacing real bugs to engineering with context attached, running onboarding and renewal sequences off product events, and pulling the metrics into a draft the founder edits rather than builds. It is run by someone who has carried quota at SaaS companies, sold and implemented the tooling, and now runs marketing at a live AI network, so the pitch is not that AI is new to you. It is that this work is not on anyone’s roadmap and it is costing you pipeline.
The boundary comes first. Astraeus does not touch your product or its AI features. Your engineers own that and should. Nothing that reaches a customer, a prospect or an investor goes out without a named person approving it, and nothing automated decides a price, a discount, a refund or a cancellation. Pre-revenue companies are not a fit, and the page says so rather than letting you find out on a call.
Workflow catalogue
Each row is a pattern to assess, not a claim that every business should implement it.
Before
A demo request lands on a Friday afternoon and gets a reply on Tuesday. Trial sign-ups are a list nobody works.
After
Every sign-up is enriched and scored against rules you set, routed to the right person within minutes, and a first reply is drafted with the context already in it.
Human checkpoint
The founder or sales lead writes the qualification rules. A person sends every first reply.
Before
Deals with no next step, stages that mean different things to different people, and a pipeline number that gets rebuilt in a spreadsheet before every board meeting.
After
Calls and email threads log themselves, deals without a dated next step get flagged, and stage definitions are enforced by the build rather than by memory.
Human checkpoint
Reps own their stages and forecasts. Nothing moves a deal without a person.
Before
Tickets, feature requests and actual bugs arrive in the same inbox and get answered in whatever order somebody opens them.
After
Every message is classified and routed, routine questions get a draft from an answer bank you wrote, and real bugs reach engineering with the account, plan and reproduction steps attached.
Human checkpoint
Anything touching billing, security, data or cancellation is answered by a person, every time.
Before
A sign-up who has not done the one thing that predicts retention gets the same drip as everyone else, or nothing.
After
Sequences run off product events rather than the calendar, and accounts going quiet surface to a person before the trial ends.
Human checkpoint
Customer success owns every escalation and every conversation about upgrading.
Before
The first sign of churn is the cancellation email.
After
Usage drops and login gaps trigger an alert at 90, 60 and 30 days out, with the account history in front of whoever picks it up.
Human checkpoint
Pricing, discounts and save offers are decided by a person, never generated.
Before
The founder spends a weekend pulling Stripe, the CRM and product analytics into a deck by hand.
After
The numbers assemble themselves on a schedule and a first draft of the narrative is waiting for the founder to edit.
Human checkpoint
The founder edits and sends. Nothing goes to an investor without them.
Tech buyers do not need convincing about AI. They need to know what we will not touch.
We do not build features, write application code, or design your product’s AI. Your engineers own that. We build the operating layer around it: sales, support, onboarding, revenue and reporting.
Drafts wait for one-click approval. No message to a prospect, customer or investor sends itself, and this is a build requirement rather than a setting.
Pricing, discounts, refunds, save offers and cancellations are human calls. The system surfaces the account and the history; it never decides.
HubSpot, Attio, Pipedrive, Intercom, Stripe, Linear, Slack and Notion stay where they are. We connect and configure them, keep your customer data in EU-hosted tools that do not train on it, and document the data path so you can answer a security questionnaire with it.
The first step is a free 45-minute consultation, not a project.
We walk through what happens to a sign-up in the first hour, where the pipeline number actually comes from, and how a bug gets from a customer to an engineer today.
Within 48 hours you get a one-page note with one recommended next step and its price. If the honest answer is that an engineer with a free week could do it, the note says so.
Usually inbound qualification and routing, because it produces a pipeline number within a fortnight and proves the approval gates in the same piece of work.
The honest boundary
Most of this is deterministic automation with AI used only where language is involved: classifying a ticket, drafting a reply, turning numbers into a paragraph. Your team could build all of it. The reason it is not built is that nobody owns it, and the roadmap will keep winning until somebody does. If you have a RevOps or CS ops hire starting next month, wait for them and give them this page. If you are pre-revenue, spend the money on the product. And if your CRM or support platform already ships the thing you are asking for, the findings note will say configure what you own, which is a short note and costs you nothing.
Direct answers
Yes. The question is whether you will, and when. Every one of these workflows has been on an engineer’s someday list at every tech company we have seen. The engagement exists because the product roadmap always outranks the operations backlog, and it should.
No. We do not write application code or design product features. The work is the operating layer around the product: how leads, customers, tickets and numbers move between the tools your team already uses.
Then this is not for you yet, and we would rather say so here than on a call. Without revenue there is no process worth automating and every euro belongs in the product. Come back when you have paying customers and a support inbox you dread.
Whatever you run. The usual set is HubSpot, Attio or Pipedrive for CRM, Intercom or a shared inbox for support, Stripe for billing, Linear or Jira for engineering, Slack and Notion for everything else. Custom integrations and MCP servers where an off-the-shelf connector does not exist.
It should make them easier. Every workflow documents its data path, tools are EU-hosted and configured so nothing trains on your customer data, and each step carries the minimum data it needs. You get that documentation as a deliverable, not a promise.
That is fine. The company is Irish and works remote-first with teams across Europe and further afield. What matters is that one person can make the decision and the team is small enough that we are talking to the people doing the work.
The consultation is free. Everything after that is a fixed, quoted price agreed before work starts, and the findings note only ever recommends one next step rather than a menu.
If you run a funded SaaS or tech company with 10 to 49 people and the operations around your product are held together by the founder, book the free 45-minute consultation. You get a one-page findings note and one priced recommendation, implemented by Astraeus.
Book the free AI consultation