Routine work with evidence
- Intake, triage, and missing-information checks
- Draft plans, tests, code, and documentation
- Approved linters, tests, scanners, and policy checks
- Review packets that surface uncertainty and disagreement
Applied AI for operating work
Fix the process that is costing you the most.
Pick your highest-priority process. We’ll determine whether—and how—AI can improve it.
Start with the process, not the technology. We map the work, quantify the friction, test the hard assumptions, and give you a clear decision before a larger commitment.
One named processEvidence before buildHuman accountability
Process Diagnostic
Make a good decision before you fund a build.
A Process Diagnostic focuses on one business process with a real owner, consequence, and decision date. We interview the people doing the work, map the systems and handoffs, establish an evidence-based baseline, and test the assumptions most likely to break an implementation.
The outcome is a clear recommendation: proceed, run a controlled pilot, fix the foundation first, or stop. A polished prototype is not the goal unless it changes the decision.
Discuss a processAI-Governed Software Delivery
Accelerate the work. Keep people in control.
Move suitable software work from intent to verified change faster, without surrendering human control.
We install and operate a controlled AI delivery workflow inside the ticketing, repository, CI/CD, messaging, model, identity, and monitoring tools your team already uses.
AI handles bounded analysis, drafting, testing, review preparation, and evidence collection. Your accountable people retain authority over requirements, architecture, security risk, merge, and production release.
Intent, consequence, and risk
- Business outcomes and acceptance criteria
- Material architecture and data-use decisions
- Security-risk acceptance and control exceptions
- Merge, release, and irreversible actions
Start with a controlled pilot
Prove one workflow before expanding.
Our recommended opening wedge is code review, test generation, and evidence packaging for a recurring class of work. We establish a baseline, evaluate historical cases, run in shadow mode, and enable only bounded actions after the controls pass.
One teamOne workflowHuman merge authorityMeasured qualityStop conditionsPortable by testing
Discuss a software-delivery workflow
Designed around replaceable, tested adapters
TicketingMessagingRepositoriesCI/CDAI modelsObservability
Portability is validated per workflow. Changing a model or platform may change quality, latency, cost, and security behavior.
Ongoing AI delivery
When there is a case to act, we own the work.
After the decision is made, the right delivery model depends on the systems, operating risk, pace, and ownership the work requires.
Maintain what matters
Monitor and care for a clearly defined system, with named boundaries and operating responsibility.
Integrate useful improvements
Connect tools to real workflows and ship prioritized improvements without creating an oversized internal program.
Operate a focused AI backlog
Provide senior ownership and a managed delivery team around a defined set of systems and business priorities.
Where we focus
Processes with measurable friction and accountable owners.
AI is useful when it reduces delay, rework, errors, missed revenue, or avoidable risk—not when it merely creates a more impressive demo.
Exception-heavy operating work
Workflows where people repeatedly gather context, route decisions, reconcile systems, and resolve preventable exceptions.
- Intake and triage
- Approvals and escalations
- Order, service, and fulfillment exceptions
Implementation and customer delivery
Processes where requirements, configuration, testing, documentation, and support handoffs determine time to value.
- Customer onboarding
- Configuration and migration QA
- Support and product feedback
High-context knowledge work
Work that depends on finding the right information, assembling evidence, and keeping a qualified person in control.
- Research and evidence synthesis
- Document and case preparation
- Knowledge retrieval and drafting
Governed human–AI workflows
Automation that requires explicit permissions, evaluation, approval gates, monitoring, and a defined route back to a person.
- Agent readiness and evaluation
- Human approval design
- Failure and escalation handling
How we work
Start with the process, not the technology.
Every step is designed to reduce uncertainty before risk and spending increase.
1
Name the process
Identify the owner, users, consequence, urgency, and decision that must be made.
2
Observe the work
Map what actually happens across people, systems, information, handoffs, and exceptions.
3
Test the case
Establish the baseline, assess feasibility and controls, and test the assumptions that could kill the idea.
4
Make the decision
Proceed, pilot, repair the foundation, or stop—with evidence and a bounded next step.
Trust and control
Your data and systems stay under your control.
Access, delivery location, subprocessors, sensitive-data boundaries, and human approvals are qualified before the work is scoped. We do not claim controls or certifications that have not been implemented and verified.
Discuss your constraintsMinimum necessary access
Begin with interviews, process artifacts, synthetic data, or de-identified examples whenever those can answer the decision.
Explicit delivery boundaries
Agree where work occurs, who can access client information, and which environments or data must remain restricted.
Human decision rights
Keep accountable people in control of customer commitments, financial actions, regulated decisions, and consequential exceptions.
Measured release
Use evaluation, approval gates, monitoring, stop conditions, and rollback paths appropriate to the operating risk.
Useful AI begins with an expensive problem, a responsible owner, and evidence strong enough to act.
Start a conversation
What is taking too long, costing too much, or frustrating your team?
Bring one process—not a general mandate to “use AI.” We’ll start by understanding the work, the consequence, and the decision you need to make.
A useful first note
Tell us four things
Email Applied IntelligenceNo confidential or regulated information is needed for the first conversation.