Business Systems Intelligence · Est. 2018
We redesign the systems, processes, data, and knowledge infrastructure that businesses need to deploy AI effectively, and build the AI systems that operate on top of them. Twelve competencies, four capability groups, one methodology.
Live Instrument · Process Mining
The documented process reads Application → Review → Approval → Fulfillment. Hover any step below to see what the real one, recovered from event logs, actually costs.
Read the graph
Each edge weight is hours silently added at that handoff, estimated from process-mining event logs, not the documented flowchart.
Hover any step to compute its downstream blast radius, the cumulative delay it introduces on the slowest path to fulfillment.
Methodology
Map how the business actually works: people, processes, systems, data, documents, workflows, controls, and dependencies.
Identify information fragmentation, process bottlenecks, duplicate work, manual handoffs, and exception hotspots.
Classify every problem as automate, augment, integrate, redesign, modernize, structure, or govern — then design the intervention.
Deploy AI agents, document intelligence, knowledge systems, APIs, data pipelines, workflow engines, and decision systems.
Continuously monitor accuracy, automation rate, exception rate, human intervention, latency, cost, and business outcomes.
Core Competencies
Select a capability group to see what we build inside it, the problem it solves, and the outcome it produces.
Critical business information is trapped in PDFs, forms, emails, spreadsheets, and scans.
Documents become machine-readable business information and actionable decisions.
Contracts contain operational and financial obligations that are difficult to continuously monitor.
Contracts become an operational data source rather than static documents in a legal folder.
Organizational knowledge is fragmented across documents, employees, databases, and applications.
Employees interact with the organization's collective knowledge through an intelligent interface.
The Cross-Cutting Layer
Not sold as a standalone service, but the thing that separates this from an ordinary AI implementation firm. Six architectures, stacked, maintained continuously.
Engagements
Select a stage below for its inputs, outputs, and ideal entry point.
Leaders who don't yet have an evidence-based picture of how the organization actually operates, or where AI can create measurable leverage.
Required Inputs
Expected Outputs
Depth: Diagnostic · Time to first deliverable: 5 Working Days
Who We Serve
COOs, CIOs, and heads of transformation at mid-market to enterprise companies running fragmented systems across departments, typically 200 to 5,000 employees.
Manual Hours / Week
340
AI-Suitable Steps
21 / 34
Recoverable Capacity
210 hrs/wk
Client Reviews
“The Discovery engagement gave us the first honest map of how claims actually moved through our systems. It wasn't the flowchart in the SOP, it was six handoffs longer.”
Amara Osei
COO, Regional Insurer
DIS → PIL“We had three vendors pitching a chatbot. The Discovery diagnostic showed the real bottleneck was document intake, not the support queue. The pilot proved it in eight weeks.”
Daniel Krause
Head of Operations, B2B SaaS
DIS“The Transformation Program was the first time our roadmap was sequenced by evidence instead of whoever asked loudest. Twelve competencies, four we actually needed first.”
Priya Ramesh
CIO, Mid-Market Manufacturer
TXP