Your team shouldn't be doing work AI can finish while they sleep.
SuperTools are custom AI agents and automations built for your stack, integrated with your systems, owned by you. We ship working systems - not strategy decks.
Built into Salesforce, SAP, Excel, Outreach, ZoomInfo, Azure Foundry, Notion, and proprietary internal systems. Tool-agnostic by design.
Off-the-shelf AI can't run your business
SaaS Doesn't Fit Your Stack
Vendor platforms force you into their data model. Your workflows have edge cases their PMs never imagined.
Per-Seat Pricing Punishes Scale
When AI usage takes off, your bill compounds. API-cost economics flip the curve.
You Don't Own It
The vendor owns the code, the prompts, the model config. Switch providers and you start over.
Generic AI Misses the Hard Parts
Real automation needs your defined terms, your exception rules, your compliance posture. Generic tools can't.
The average knowledge worker spends 32 working days per year retrieving information from documents and spreadsheets - more time than many spend on vacation. Generic AI tools chip at the edges. Custom-built AI handles the workflow end to end.
AI built the way your business actually works
SuperTools are production AI systems we design, build, and hand off to you. Custom Python. Native integrations. Human-in-the-loop where stakes are high. Fully autonomous where they're not.
We start from your workflow, not from a feature list. We talk to the people doing the work, document what AI can take off their plate, and ship a working system in weeks - not quarters.
You own the code, the prompts, the model configurations, the runbooks. If we disappear tomorrow, your team runs it.
Owned By You, Not Rented
Senior Engineers, Not Junior Consultants
Measured ROI Before We Scale
Real systems. Real results. Real companies.
Anonymized at client request. Live references available on request.
Multi-agent Salesforce enrichment system. Account research dropped from 30-45 min to under 2 min. Thousands of accounts enriched weekly.
Multi-party scheduling automation across 40 candidates × 4 interviewers. "Life-changing time savings."
Human-in-the-loop AI bot deployed inside a regulated finance workflow. Same engagement trained 140 employees (Superhumans).
Custom due-diligence workflow with entity resolution across Moody's EDFX and global name variants. 8-step human-in-the-loop dashboard.
From workflow to production in weeks
A focused POC ships in 2-3 weeks. A multi-agent production build ships in 6-12 weeks.
Discover
We sit with your champions, map the workflow, document the exceptions, and rank opportunities by ROI and feasibility.
Verify the Hard Part
Before we touch infrastructure, we prove the AI can do the hard part on your real data. If it can't, we say so.
Build & Integrate
Custom Python agents, real integrations with your systems (Salesforce, Excel, ERP, internal DBs), human-in-the-loop UI where needed.
Calibrate & Hand Off
Precision/recall measured against real cases. Confidence thresholds tuned. Code, prompts, runbook, calibration data delivered. You own it.
Four principles behind every SuperTool we ship
Human-First, Humanized at the Back End
No AI-only output paths for high-stakes work. Every AI finding surfaces as a suggested track-change, an anchored comment, or a queued action your team can accept, reject, or modify.
Conservative Bias
Findings below confidence threshold surface as flags, never as auto-actions. The system errs toward asking the human, not assuming. This is the architectural answer to "the AI just did something wrong."
Micro-Tools, Switchable Per Engagement
Small, composable agents - each with its own deterministic rules, LLM verification, audit trail, and on/off toggle. Compliance obligations honored through configuration, not code rewrites.
Auditable Trail, End to End
Every action records the model version, prompt version, rule version, anchor span, and confidence score. Roll back per-agent. This is the trail your risk and compliance team requires.
Built on the best of modern AI
Your existing systems on either side. Our agents in the middle. Audit trail underneath. Human-in-the-loop on top where stakes are high.
Models & Reasoning
- Claude Opus & Sonnet
- GPT-4 & 5
- Gemini 3 Pro
- Open-source local inference
Integrations
- Salesforce
- Microsoft 365
- SAP
- Google Workspace
- Outreach
- ZoomInfo
- Notion
- Custom REST APIs
Infrastructure
- Azure Foundry
- AWS
- Railway
- Vercel
- Customer-owned cloud
Compliance Posture
- SOC 2-aligned controls
- BAA-eligible deployments
- Customer-tenant deployment
- Full audit logging
The best automation ideas come from the people doing the work.
That's why most SuperTools clients start with Superhumans. Trained champions surface the highest-ROI opportunities for us to build.
Built for outcomes, not subscriptions
Every SuperTools engagement is scoped to a named outcome you can measure. What stays constant: you own the result.
You own the system
Code, prompts, model configurations, runbooks, and calibration data - delivered to your environment and your property at engagement end. No vendor lock-in. No per-seat license.
Built once, runs forever
Ongoing cost is your API spend, not a subscription that compounds with usage. Most production systems cost less to operate in a year than equivalent SaaS costs in a quarter.
Measured before scaled
Every engagement starts with a calibrated discovery that proves the AI can do the hard part on your real data. You make the next decision on evidence, not optimism.
Frequently asked questions
What does "you own the code" actually mean?+
How is this different from buying an AI SaaS platform?+
What if the POC doesn't work?+
Who actually builds it?+
Will this pass our security and compliance review?+
Do we need Superhumans first?+
How do you handle hallucinations and accuracy?+
Stop doing the work AI should be doing for you
Tell us what's repetitive, expensive, or error-prone in your business. We'll tell you in 30 minutes whether AI can fix it - and what the build looks like.