Scaling Your Success
Automate the operational bottlenecks that break when you grow — so scaling revenue doesn’t mean scaling headcount one-for-one.
The problem
The manual processes that worked at your current size buckle as you grow. Back-office work balloons, quality slips, and the default fix — hiring linearly — erodes the margin growth was supposed to create.
What it includes
The capabilities we build into this solution — engineered for production, not a demo.
Bottleneck discovery
Find the repetitive, rule-based work that’s quietly capping your throughput.
Agentic automation
AI agents that run multi-step back-office processes end to end.
Document & data ops
Automate the extraction, classification, and entry that scales badly by hand.
Systems integration
Wire automations across your existing tools, with monitoring.
Human-in-the-loop
Automate what’s safe; keep judgment calls with your team.
Measured rollout
Ship the highest-ROI automation first, prove it, then expand.
How we'd build it
The same method behind everything we ship: de-risked, measured, and in production in one quarter.
Feasibility
We validate the use case on your real data, define the accuracy bar and ROI, and give you an honest go/no-go — usually in weeks.
Build & evaluate
We engineer the system and score it against a labelled set until it clears the bar — quality is a measured number, not a promise.
Deploy
We ship to production, integrated with your systems and behind the right human-approval gates, with monitoring from day one.
Operate & improve
We watch it in production, handle drift, and expand scope as trust builds — feasibility in 6 weeks, production in ~90 days.
What you get
- A prioritized map of what to automate first
- Production automations for your biggest bottlenecks
- Capacity to grow revenue without linear headcount
- Monitoring and an audit trail on every automated step
Production AI we've shipped
We'd build your solution with the same discipline behind these real, in-production engagements — described by sector under NDA.
A production document classifier — 5,000+ documents/month, built to a ≥95% accuracy target and live in 8 weeks.
Read the case studyBank-statement automation across 21 banks with a measured 0.24% transaction-direction error rate.
Read the case studyAI-at-POS recommendations running against live in-store transactions across every location.
Read the case studyWant to scope Scaling Your Success?
Tell us the use case. We'll come back with a feasibility view and an honest go/no-go — a working prototype in about six weeks.
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Location
Barcelona, Spain • Lisbon, Portugal • Sheridan, WY, USA (incorporation)
Why Choose CONE RED?
- AI R&D lab & venture builder — production systems, not slideware
- Feasibility in 6 weeks, production in ~90 days
- Accuracy measured and evaluated — never invented or guaranteed
- Real engagements across financial services, healthcare & retail
- End-to-end support from strategy to deployment
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