AI Infrastructure for Tech & SaaS

Your most expensive roles.
Replaced by AI systems
that never stop.

Stativa builds complete AI infrastructure for SaaS and tech companies — eliminating the cost and fragility of human-dependent workflows across recruiting, sales, support, and operations.

No long-term lock-in
Enterprise-grade security
ROI visible in 30 days
What clients gain
$480K+
Average annual role cost eliminated per engagement
↑ Recurring savings
73%
Reduction in tier-1 support tickets — resolved by AI
↑ CSAT +18pts
90 sec
Lead response time vs. 8-hour human average
↑ 3× pipeline
25%
Churn reduction in critical first 90 days post-onboarding
↑ LTV impact
Quantified outcomes

The cost of doing nothing is compounding

Every week your SDR spends on research instead of selling, every support ticket resolved after 4 hours, every onboarding email that goes unopened — these are not inconveniences. They are measurable revenue losses.

60%

Reduction in cost-per-qualified-lead when AI SDR systems replace manual outbound prospecting and research workflows.

McKinsey — State of AI in Sales, 2024
$350K

Annual cost of HR administration time wasted on repetitive tasks — policy Q&A, onboarding paperwork, and data entry — per 100-person company.

SHRM Workforce Report, 2024
44 days

Average time-to-hire for SaaS companies in 2025 — up 24% since 2021. 42% of candidates withdraw because the process moved too slowly.

LinkedIn Talent Insights, 2025
12%

Share of employees who actually apply training to their job. The average SaaS company spends $1,286 per employee on L&D annually — most of it invisible in outcome.

HubSpot Learning Report, 2024
35%

Increase in deal close rate from the same pipeline when AI revenue intelligence surfaces next-best actions and flags deal risk in real time.

Gong.io Revenue Report, 2024

Content output increase at 70% lower production cost when an AI content engine replaces manual briefing, writing, and publishing workflows.

HubSpot State of Marketing, 2024
AI infrastructure tiers

One system. Built for your stage.

Every engagement starts with a discovery session to map your highest-ROI opportunities. Then we build — from a focused first system to a complete AI operational layer.

Tier 1
Growth Ignition
For early-stage SaaS founders handling everything manually — and losing pipeline and customers because of it.
  • AI SDR system — automated prospecting, personalised outreach, CRM sync
  • AI lead qualification chatbot — 24/7 website qualification and demo booking
  • AI support deflection agent — resolves 70%+ of tier-1 tickets instantly
  • 30-day performance dashboard and optimisation support
Expected: 3× pipeline volume · 60–70% support cost reduction · Sub-90-second response time
Tier 3
Full-Stack AI OS
For scaling SaaS companies ($1M–$5M ARR) replacing their entire GTM and ops stack with integrated AI infrastructure.
  • Everything in Tiers 1 & 2, plus:
  • Custom AI operations dashboard — unified KPI and pipeline view
  • AI recruiting system — screening, scoring, and scheduling
  • Finance and ops automation — invoicing, reporting, contracts
  • Product-led growth engine — trial behaviour monitoring, upsell signals
  • 90-day retainer with dedicated support and quarterly strategy
Expected: AI equivalent of 4–6 FTEs · $200K–$480K annual role cost eliminated
How it works

From discovery to deployed in weeks — not months

No multi-year implementation. No internal IT dependency. We build and own the deployment so your team can focus on the work only humans should do.

1
AI Strategy Session
We map your highest-ROI opportunities and identify the roles AI can replace first — with a clear financial case for each.
2
System Architecture
We design the full integration map — how AI connects to your CRM, ATS, support desk, and content systems.
3
Build & Deploy
Using our no-code/low-code stack (n8n, Voiceflow, Claude API), we build and launch your first system in 3–4 weeks.
4
Optimise & Scale
We monitor, tune, and expand the system — adding layers as your business grows and new replacement opportunities emerge.
Security & integration

Enterprise-grade security. Zero internal IT burden.

The most common objection we hear: "What about our data?" Here's exactly how we answer it.

🔒
Zero data retention by default
We use the Claude API under Anthropic's enterprise zero-data-retention terms. Your data is never stored, trained on, or used outside your system.
🔐
End-to-end encrypted data flows
All integrations run over TLS 1.3. API keys are stored in encrypted vaults. No client data passes through third-party logging systems.
📋
Full compliance documentation
We provide a complete data processing agreement (DPA), vendor security questionnaire response, and liability addendum before any engagement begins.
🔌
Integrates with your existing stack
Salesforce, HubSpot, Zendesk, Intercom, Ashby, Notion, and 200+ tools via native connectors — no rip-and-replace, no migration risk.
🛡️
SOC 2 compatible architecture
Systems designed to align with SOC 2 Type II control requirements
No internal IT dependency
We handle all deployment, configuration, and maintenance — your team doesn't touch it
📊
Full audit trail
Every AI action logged with timestamps, inputs, outputs, and decision rationale
🔄
Ownership transfer at close
You own all systems and IP at the end of the engagement — no vendor lock-in
Common questions

The questions every SaaS founder asks us

Honest answers to the concerns that matter most before committing to an AI infrastructure engagement.

How long until we see ROI?
Most clients see measurable output within 30 days of deployment — reduced ticket volume, increased pipeline activity, or faster time-to-hire. Full financial ROI (cost saved vs. engagement cost) typically becomes visible within 60–90 days. We build a specific ROI projection for your business before you commit.
Will this break our existing tools and workflows?
No. We integrate with your existing CRM, ATS, support desk, and content systems via native APIs and connectors. There's no migration, no rip-and-replace, and no disruption to your current workflows. AI layers are added on top of what you already use.
What happens to the employees whose roles are being automated?
The most common outcome is role elevation, not elimination. We automate the repetitive, low-judgment parts of a role — screening, scheduling, answering the same questions — so your people can focus on work that genuinely requires human judgment. Headcount decisions remain entirely yours.
How much does our team need to learn or manage?
Very little. Our done-for-you model means we build, deploy, monitor, and maintain the systems. We provide a simple dashboard so you can see what the AI is doing. No technical skills required from your team. At the close of the engagement, we train your designated owner on day-to-day management.
Is there a guarantee if the systems don't perform?
Yes. We commit to specific performance benchmarks in every engagement agreement — response time targets, deflection rates, pipeline metrics. If we miss them in the first 60 days, we continue optimising at no additional cost until they're met or we refund the relevant portion of the engagement.
What if our business or needs change mid-engagement?
All systems are built to be modifiable. If a workflow changes, a new integration is needed, or priorities shift, we adapt the system. Our retainer periods exist precisely for this — ongoing adaptation is built into the engagement, not an extra charge.
Limited strategy sessions available each week

Stop paying people to do
work a system can run.

One 30-minute session. A clear map of your highest-ROI AI opportunities. A specific system we'd build first — and the financial case for it.

No obligation
No pitch deck
You'll leave with a concrete plan