Useful AI without the enterprise price tag
S2 Analytics builds lean AI and automation systems for teams that need results, not another expensive platform to manage. Lead follow-up, competitor monitoring, private company GPTs, and deterministic workflows where AI is only used when it earns its keep.
AI services with a business case attached
The work starts with one practical question: what should your team stop doing manually? From there, I build the smallest reliable system that solves it.
AI workflow automation
Lead follow-up, inbox triage, research digests, and internal workflows that keep moving without adding another full-time hire.
- Lead capture and follow-up flows
- Human approval steps where they matter
- CRM, email, Slack, and database integrations
- Cost controls so AI only runs when useful
Competitive intelligence digests
Daily, weekly, or monthly monitoring of competitor newsletters, websites, filings, and public updates with plain-English analysis.
- Newsletter and website monitoring
- Summaries by competitor, topic, and theme
- Signals your team should act on
- Email, dashboard, or knowledge base delivery
Private company GPTs
Secure, company-specific AI assistants trained on your policies, documents, data, and voice without handing every workflow to a generic chatbot.
- Internal knowledge assistants
- Document search and answer systems
- Role-specific prompts and guardrails
- Usage logging and admin controls
Data and process foundations
The boring but necessary layer: clean data, deterministic scripts, reliable pipelines, and dashboards your team can trust.
- Data cleanup and source integration
- Deterministic workflows before AI workflows
- Dashboards, alerts, and scheduled reports
- Documentation and team handoff
Deterministic first. AI where it helps.
A lot of AI spend gets wasted because teams ask a model to do work a script, query, or rule should handle. I separate the repeatable parts from the judgment calls so the system stays cheaper, faster, and easier to trust.
Find the leverage
We pick one workflow where wasted time, slow response, or missed information is already costing you money. No vague AI roadmap required.
Build the smallest useful system
I wire up the data, automation, and AI pieces needed to make the workflow run. Deterministic logic handles the repeatable parts. AI handles judgment, language, and synthesis.
Measure, tune, and hand off
You get a working system, clear operating notes, and visibility into cost and usage. The goal is useful automation your team can own.
Start with one useful AI system
If your team is manually chasing leads, reading competitor emails, answering the same internal questions, or copying data between systems, that is a good place to start.
Want examples? Drop your email and I will send practical AI workflow ideas for smaller companies.