Engineering the Autonomous
Enterprise.
We bridge the gap between legacy limitations and Agentic AI efficiency. Move from incremental change to radical 10× ROI.
Trusted by enterprise leaders
7×
Processing Throughput
Global Banking case study
$14M
Annual OpEx Savings
Delivered in year one
99%
Oversight Reduction
Via self-healing workflows
<0.1%
Error Rate
Post-transformation baseline
Our Services
Three disciplines.
One transformation.
We don't sell technology. We engineer outcomes — measurable, auditable, and built to compound.
Process Re-engineering
Strategic overhaul, not tactical patches.
We don't automate bad processes. We reinvent them for a post-cloud world — mapping As-Is inefficiencies to a To-Be architecture built for autonomous operation.
- As-Is vs To-Be interactive process mapping
- Process Simplification (tactical) vs BPR (strategic)
- Value stream analysis across all business units
- Change management and stakeholder alignment
80%+
Efficiency gain on re-engineered processes
Intelligent Automation
Autonomous agents beyond linear RPA.
Agentic AI handles non-linear logic — invoice validation exceptions, compliance edge cases, multi-system orchestration — without human intervention. Self-healing by design.
- Non-linear exception handling without human-in-the-loop
- Multi-agent orchestration across siloed mainframes
- Self-healing workflow recovery under failure conditions
- 99% reduction in manual oversight through AI reasoning
99%
Reduction in manual oversight
Bespoke Software
Some problems require software that doesn't exist yet.
Full SDLC from Discovery through Architecture, Agile Sprints, and QA.
- Web apps, portals, and internal tools built specifically for your use case.
- API and data integrations that make your existing stack work as one.
- Build software with AI capabilities embedded — not bolted on as an afterthought.
- Migrate off outdated systems without losing institutional knowledge.
3×
Faster deployment vs traditional SDLC
Evidence-Based Case Study
Global Banking
Transformation.
Legacy core systems causing 12-day loan approval lag. Agentic AI layer orchestrating data across siloed mainframes.
A global tier-1 bank carried a 12-day loan approval cycle driven by legacy mainframes unable to communicate across siloed data stores. Manual reconciliation consumed 340 FTE-hours weekly.
QuantumFoundry deployed an Agentic AI orchestration layer across 7 mainframe systems — handling exception logic autonomously, eliminating human-in-the-loop for 99% of workflows. PQC-audited on deployment.
7×
Processing throughput increase
$14M
Annual OpEx savings delivered
<0.1%
Post-transformation error rate
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Know your numbers
before you commit.
Model your 1–5 year savings from RPA and Agentic AI deployment. Adjust your organisation's parameters and download a boardroom-ready projection in minutes.