We build agentic workflows that connect to your systems, execute real work, and deploy with governance controls your security team will approve—in weeks, not quarters.
Integrates with your enterprise stack
70% of agentic AI projects stall between "impressive pilot" and "deployed system." Not because the AI doesn't work—but because they lack governance, integration discipline, and measurable outcomes.
Your CISO needs threat models, OWASP mitigations, and audit trails. Most vendors can't provide them.
Cool pilots with mocked data don't survive real integrations, edge cases, and operational requirements.
After the vendor leaves, who monitors drift, handles failures, and validates ongoing accuracy?
We treat AI agents like the production software they are—with proper architecture, security controls, testing harnesses, and operational runbooks.
Enterprise spending on AI is accelerating—but success requires engineering discipline, not just experimentation.
Integrates with common enterprise stacks
A small menu that ladders from discovery to production to ongoing operations. Each engagement has defined triggers, deliverables, and acceptance criteria.
Map your workflows, identify the best automation candidate, and define success metrics before building anything.
Working agent on one workflow with real integrations, approval gates, and evaluation metrics. Run on live cases.
Hardened runtime with RBAC, secrets management, audit trails, load testing, and operational runbooks.
Ongoing monitoring, evaluation regression testing, cost optimization, and incremental workflow expansion.
Inputs, retrieved context IDs, tool calls, approvals, and final actions—fully logged and reviewable.
Explicit human sign-off for high-impact actions like customer comms, record changes, and payments.
Mitigations documented for prompt injection, data exposure, excessive agency, and access control.
Reproducible test set with completion rates, error classes, and cost envelope visibility.
NIST AI RMF mapping with control ownership, evidence, and mitigations.
Escalation paths, rollback steps, and on-call ownership defined.
Budget caps, token tracking, and alert thresholds per workflow.
System permissions, read/write scope, and approval boundaries documented.
Acceptance criteria tied to KPIs, error classes, and review thresholds.
Prompt/tool updates tracked with rollback plans and evaluation checks.
Latency, accuracy, and drift dashboards with alerting thresholds.
OWASP LLM Top 10 checklist with mitigation status per workflow.
Inputs, retrieved context IDs, tool calls, approvals, and final actions—fully logged and reviewable.
Explicit human sign-off for high-impact actions like customer comms, record changes, and payments.
Mitigations documented for prompt injection, data exposure, excessive agency, and access control.
Reproducible test set with completion rates, error classes, and cost envelope visibility.
Each phase has explicit acceptance criteria signed by the business owner. We don't move forward until outcomes are validated.
15-minute fit check followed by a qualification call. We assess workflow complexity, KPI availability, data access, and risk posture before committing.
Gate: KPI definition signed by business owner. We don't build until success metrics are agreed and baseline measurements are captured.
Gate: Security review against OWASP LLM Top 10 and operational readiness checklist. Run on real cases with benchmark vs baseline.
Gate: Governance mapping (NIST AI RMF + ISO 42001 style controls). SLOs met, rollback plan ready, incident playbook documented.
Monthly KPI reporting, drift detection, change log maintenance, and backlog burn-down. Continuous improvement, not one-time delivery.
We prioritize verticals with high labor cost in knowledge work, measurable cycle-time metrics, and strong integration surfaces.
KYC/AML case research, customer correspondence, compliance lookup, fraud operations triage.
Claims intake and triage, document extraction, subrogation research, customer service automation.
IT helpdesk automation, ticket triage, SDLC workflows, internal knowledge copilots.
Customer service automation, order exception handling, merchandising content, supplier comms.
Work order triage, maintenance planning, parts lookup, QA documentation assistants.
Email and ticket triage, document routing, CRM enrichment, customer communication workflows.
Book a 30-minute discovery call. We'll map your highest-value workflow and produce a preliminary ROI hypothesis—no commitment required.
Get Your Free AssessmentAn Opportunity Sprint takes 7-10 days. Proof-of-Value builds take 4-6 weeks. Production launches typically run 8-12 weeks depending on integration complexity. We can often start within 1-2 weeks of agreement.
We're engineers, not slide-makers. Every engagement ships production code with real integrations. We include governance controls (OWASP, NIST) as core deliverables, not afterthoughts. And we define success metrics before building—not after.
Every production launch includes an OWASP LLM Top 10 checklist, NIST AI RMF mapping, full audit trails, and configurable human approval gates. We provide documentation and artifacts to support your security review process.
Sprint and PoV builds are fixed-fee for scope certainty. Production launches are milestone-based with payments tied to acceptance gates. Retainers are monthly. Model/API costs are passed through transparently with agreed caps.
We're vendor-portable and integrate with your existing investments—OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google. We can also extend platforms like Copilot Studio, Salesforce Einstein, or ServiceNow with custom agentic capabilities.
Book a discovery call to discuss your workflows. We'll identify the highest-value automation opportunity and show you the fastest path to production.
Ready to automate? Book a free discovery call and get a preliminary ROI hypothesis.
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