Finance architecture
Close, planning, reporting, treasury, working capital, project economics, data ownership, and management cadence designed as one operating system.
Operating thesis
Architecture and economics belong in the same room.
A useful technology decision begins with the operating model: what must become faster, more reliable, more visible, or less dependent on manual coordination. Only then should leadership choose the system, workflow, automation, or model.
KSIG evaluates technology through business requirements, control design, total cost of ownership, integration, security, adoption, strategic flexibility, and the permanent operating burden created by the choice.
Where KSIG engages
Build vs. buy
Capability fit, lifecycle cost, switching risk, integration, talent, vendor concentration, customization, and the value of control.
Workflow automation
Structured preparation, reconciliation, routing, exception handling, and evidence capture around repeatable finance and operating work.
Applied AI
Bounded agents and AI-enabled workflows that prepare work and surface exceptions without obscuring authority or accountability.
Control and governance
Permissions, segregation of duties, thresholds, escalation, lineage, review gates, monitoring, and recovery designed before scale.
Adoption and value
Decision latency, quality, capacity, cash, risk, forecast accuracy, exception rates, and durable use—not implementation activity alone.
Construction finance
Automate the repetition. Keep the financial judgment.
Project-based finance contains recurring, document-heavy workflows across invoices, commitments, change orders, job costing, WIP schedules, billing support, retainage, cash forecasting, and management reporting.
KSIG's analysis explains where AI-enabled workflows can improve speed and visibility, where accountable human judgment remains essential, and which controls should precede scale.
Read the construction finance AI analysisApplied systems work
Governed automation, not automation theater.
Through BlackBoxx.ai, Karl Ohlemann architects and pressure-tests practical AI systems, specialized agents, approval paths, model and application integration, validation controls, and human-review checkpoints.
The work informs KSIG engagements without turning an executive-finance relationship into a technology sale. The standard remains operational: clear authority, observable behavior, traceable evidence, controlled exceptions, and measurable business value.
Karl Ohlemann's technology and AI perspectiveStart with the workflow
Find the decision that is waiting on the system.
A useful conversation starts with the operating reality: where information stalls, which exceptions consume senior time, what evidence stakeholders require, and which decisions must remain accountable.
Talk through the operating workflow