Most companies spend months evaluating AI tools and never ship anything real. We've already built AI into QA pipelines, daily productivity workflows, and deep-research systems — and we'll do the same for your team.
The Research Is In
Not a chatbot. Not a subscription. A system — built into your real workflows, with your team trained to use it. That's the difference between 2 hours saved and 10. Every number below comes from third-party research across real organizations.
The Problem
You've seen the demos. You've read the case studies. But somewhere between "let's explore AI" and a workflow that actually saves your team 10 hours a week, something breaks down. Here's why.
Tools without strategy. Teams buy AI subscriptions, then nobody uses them because they don't map to real workflows. Money out, value nowhere.
No training, no results. Research shows 40% of potential AI time savings are lost to correcting bad outputs when teams aren't trained. You're paying for a tool that's costing you time.
No one to actually build it. Strategy decks don't ship software. You need someone who can design the system and wire it up — end to end.
Generic advice that doesn't fit. Your business, your bottlenecks, and your team are not generic. Cookie-cutter AI rollouts produce cookie-cutter results.
Industry Research
These aren't projections. They're measured outcomes from organizations that implemented AI correctly — with purpose-built systems and trained teams. The baseline across every profession, when done right, converges on the same number: 10 hours per week.
| Profession | Hrs Saved / Week | What AI Is Handling | Source |
|---|---|---|---|
| ⚖️ Legal / Attorney | 12–13 hrs | Contract review, legal research, drafting, due diligence | Everlaw 2025; JPMorgan COIN |
| 💼 Sales Professional | 12 hrs | CRM entry, outreach, follow-ups, meeting prep, pipeline tracking | ZoomInfo / Pipeline State of AI 2025 |
| 🔍 Researcher / Strategist | 12–15 hrs | Sourcing, synthesis, competitive analysis, report generation | Landbase Agentic AI Report 2025 |
| 💻 Software Developer | 10–12 hrs | Code generation, reviews, documentation, boilerplate, debugging | Microsoft / Accenture RCT — 5,000 devs |
| 📣 Marketer / Content Creator | 10–12 hrs | Copy, briefs, campaigns, social, email sequences, reporting | CoSchedule AI Marketing Report 2025 |
| 🏥 Physician / Doctor | 10 hrs | Clinical notes, documentation, scheduling, admin, coding | American Medical Association; Duke Univ. |
| ⚙️ QA / Test Engineer | 10–12 hrs | Test case writing, script generation, regression analysis, ticket review | SmartDev; Katalon Automation Report 2025 |
| 🎓 Teacher / Educator | 8–10 hrs | Grading, lesson prep, student feedback, materials, admin | Gallup Education AI Study 2025 |
| 🧑💼 HR / Recruiter | 8–10 hrs | Screening, scheduling, onboarding docs, job descriptions, comms | Adecco Group Global AI Workforce Report |
| 📊 Finance / Analyst | 8–10 hrs | Reporting, data pulls, modeling, research summaries, compliance | McKinsey State of AI 2025 |
| 📞 Customer Service Agent | 8–10 hrs | Response drafting, ticket routing, FAQs, escalation, case notes | Fortune 500 CS Study — 5,172 agents |
| 🏭 Operations Manager | 8–10 hrs | Scheduling, reporting, vendor comms, task tracking, forecasting | Vena Business Automation Report 2025 |
| 🩺 Nurse | 6–8 hrs | Documentation, maintenance tasks, patient communications, handoffs | AMA; Healthcare AI Stats 2025 |
* Hours reflect properly implemented, trained usage. Untrained baseline average: 2–5 hrs/week.
ROI Calculator
Run the numbers for your team. This uses the conservative 10 hrs/week baseline.
Adjust the inputs below to see your projected time and cost savings.
Based on published research from Protiviti, ZoomInfo, St. Louis Federal Reserve, and McKinsey. Results reflect conservative estimates for trained teams with properly built AI systems.
Daily, trained users save nearly double what casual users save — not because the AI is different, but because the system around it is. That gap is our business. We build the system.
What We Build
We don't come to your business with untested theories. Every service below is something we've built and run ourselves — in live production environments, with measurable outcomes. We're not AI evangelists. We're AI operators.
We audit your workflows, identify your highest-ROI AI opportunities, and build a prioritized roadmap for implementation.
We design the right stack, models, agents, and integrations for your specific business — not a generic solution.
Dual-agent competitive research and synthesis; structured reports delivered in under 30 minutes versus 4–8 hours.
Purpose-built AI apps, internal tools, and workflow systems from scratch — tailored to your exact requirements.
Connect AI into your existing tools: Slack, Jira, CRMs, ERPs, email, and more — meet your team where they work.
Autonomous agent pipelines that handle multi-step tasks end to end — no human in the loop for routine work.
Jira ticket gatekeeping, auto test case generation, script writing, and CI/CD integration — all AI-driven.
Conversational task manager, email drafting, smart reminders, and daily planning — all in one intelligent system.
Train models on your data, domain language, tone, and processes for dramatically better results than off-the-shelf.
Connect AI to your internal knowledge base, docs, and data so it answers from YOUR information, not the internet.
Systematic prompt design, testing, and refinement to maximize accuracy and consistency across your team.
Hands-on training programs that turn casual users (5 hrs/week saved) into power users (10–12 hrs/week saved).
Rollout strategy, internal comms, and adoption tracking to make sure the investment actually sticks with your team.
30/60/90-day check-ins, performance monitoring, and iterative improvements post-launch to maximize long-term ROI.
Our Process
We keep it lean. No 90-day discovery phases. No shelfware strategy decks.
We map your biggest workflow bottlenecks and identify where AI will have the fastest, highest-leverage impact.
We design the architecture — which tools, which agents, which integrations — tailored to your stack and team size.
We build it. Not a prototype — a working system connected to your real tools, data, and processes.
Your team gets trained on using and maintaining the system. You own it completely — no ongoing dependency unless you want it.
We monitor the first 30 days with you, refine based on real usage, and document what's working so you can scale it.
Who This Is For
Your team is writing the same test scaffolding every sprint. You want AI in the pipeline but don't know where to safely plug it in.
You manage a lot of moving parts and a lot of communication. You need an intelligent layer that keeps tasks from falling through the cracks.
You need deeper competitive intelligence and faster synthesis — not another chatbot that summarizes the first page of Google results.
You're doing the work of five people. You can't hire your way out — but you can automate the parts of the job that don't require you specifically.