Cut manual work by 60–80%. Ship AI workflows that pass audit.
We build AI automation, data platforms, and modernized Azure / .NET systems for mid-market teams — with the evals, observability, and security controls your CISO and CFO both require. Fixed scope. Measurable outcomes. No multi-year roadmaps.
What buyers are funding in 2026
60–80% less manual work
AI workflow automation with guardrails, evals & audit trails
90%+ data quality catch rate
Fabric & Power BI foundations with automated quality checks
Monthly → daily deploys
Azure / .NET modernization in fixed 4–8 week sprints
Where the budget is going in 2026
Five services that map to the line items procurement is already approving — each scoped, priced, and delivered with guardrails baked in.
AI Workflow Automation
Replace 3-day manual processes with auditable AI workflows. Includes tool allowlists, schema enforcement, eval suites, and human-in-the-loop escalation.
Learn more →RAG & Copilot
Cut research and lookup time by 50–70%. Your team gets answers grounded in your data — with faithfulness scoring, PII boundaries, and full audit trails.
Learn more →AI Evals & Observability
Catch regressions before users do. Automated eval suites, red-team tests, drift alerts, and cost dashboards — wired into your CI/CD pipeline.
Learn more →Modernization Sprint
Go from monthly deploys to daily. Containers, CI/CD, observability, and security hardening for .NET / Azure — in a fixed 4–8 week sprint.
Learn more →Fabric & Power BI Foundation
Eliminate "my numbers don't match" debates. One governed lakehouse, one semantic layer, automated quality checks — ready for AI and self-service BI.
Learn more →Cost Takeout Blueprint
Cut SaaS + ERP spend 15–30%. License audit, renegotiation playbooks, and a prioritized savings plan — delivered in 10–14 days.
Learn more →How engagements work
Fixed scope, weekly demos, no surprise invoices. You know the cost and timeline before we write a line of code.
Blueprint (10 days)
Paid discovery. We deliver an architecture doc, risk register, costed backlog, and ROI model. You own every artifact — execute with us or on your own.
Fixed-scope build (4–10 wks)
We build in 2-week sprints with weekly demos. Every increment ships with eval suites, monitoring dashboards, and audit logging — not just features.
Retainer (optional)
Ongoing eval-suite updates, model-version upgrades, drift monitoring, and quarterly cost-optimization reviews. Most clients see 15–25% infra savings by quarter two.
Measured results, not case-study fluff
Anonymized metrics from production deployments — the numbers clients shared with their boards.
Manual document review consumed 3 analyst-days per deal, blocking $2M+ in quarterly pipeline.
RAG copilot with schema-validated extraction and human review on low-confidence outputs. Processing dropped from 3 days to 4 hours. Accuracy exceeded the manual baseline.
Legacy .NET monolith deployed monthly with weekend war rooms. Zero observability. AI feature roadmap blocked for 9 months.
6-week modernization sprint: containerized on Azure Container Apps, CI/CD via GitHub Actions, OpenTelemetry tracing end-to-end. First AI feature shipped 3 weeks after sprint closed.
Security & guardrails your CISO will approve
Every AI system we ship includes these controls — in the first deploy, not a future phase.
Tool-call allowlists
The AI can only call tools you explicitly approve. Every external integration is registered with typed schemas — no unapproved operations, no unstructured side effects.
Schema-enforced outputs
Every response to a downstream system is validated against a JSON Schema before delivery. Malformed output is caught and logged, not silently propagated.
Eval suites in CI/CD
Regression tests, red-team prompts, and accuracy benchmarks run on every pull request. If eval scores drop below threshold, the merge is blocked.
Production observability
Latency P50/P95, token costs, error rates, and output drift — all in dashboards with configurable alerts. You see problems before users report them.
Human-in-the-loop gates
Configurable confidence thresholds route low-certainty decisions to a human reviewer before execution. The threshold is tunable without a code deploy.
Immutable audit trail
Every LLM call — inputs, outputs, token counts, tool invocations, cost, latency — is logged in an append-only store. Ready for compliance review or incident forensics.
Frequently asked questions
Stop funding pilots that never ship.
A 10-day paid Blueprint gives you an architecture doc, risk register, costed backlog, and ROI model — artifacts you own and can act on immediately.
Get a 10-day paid Blueprint