Approach
The application layer for enterprise AI
Platform partners build the rails. CortexStack engineers the experience layer — where users feel intelligence, trust the output, and adoption becomes measurable.
We sit between your models and your users: copilots, agents, RAG systems, and the web and mobile surfaces that make them operational — with governance baked in from sprint zero.
Assess
Maturity & roadmap
Align
Scope & ROI sign-off
Execute
Ship & adopt
Experience
CortexStack
- Copilots & agents
- Web & mobile UX
- Workflow integration
- Adoption & change
Intelligence
Shared
- RAG pipelines
- Eval suites
- Guardrails
- Observability
Platform
Your cloud & partners
- Models & APIs
- Vector stores
- Identity & VPC
- MLOps tooling
Stack view · model to interface
The gap
You don't have an AI problem.You have an application problem.
Models are commoditizing. Access to GPT-class APIs is table stakes. What separates leaders is the interface layer — copilots people trust, workflows that stick, and governance your board can defend.
SYM_01
Pilot purgatory
Impressive demos that never earn a production promotion or a budget line.
SYM_02
Fragmented ownership
Data science builds models. Product wants UI. IT wants security. Nobody owns the whole.
SYM_03
Trust deficit
Users won't rely on outputs without citations, evals, and controls they understand.
CortexStack closes the gap between model capability and business adoption — in one accountable engagement.
Methodology
Assess → Align → Execute
A disciplined path from executive clarity to production adoption — no pilot purgatory, no open-ended discovery phases.
Phase 01
Know exactly where you stand — and what to build first.
- Maturity score across data, talent, governance, and use cases
- Prioritized use-case portfolio with effort vs. impact
- Risk & compliance snapshot aligned to your industry
- Executive readout — no slideware, decision-ready
You leave with
A honest baseline and a sequenced roadmap your leadership can fund.
Why us
Built for production, not proof-of-concept theater
Most AI engagements stop at demos. We contract to the application layer your users touch — and the evidence that it works.
Operating model
How we show up on your account
Senior builders with skin in the outcome — not a pyramid of juniors learning on your budget.
Outcome obsessed
We scope to business results — resolution time, revenue enablement, cost deflection — not story points for their own sake.
Every engagement starts with metrics your CFO recognizes.
High agency squad
Senior engineers who navigate ambiguity without a 40-person steering committee. We bring decisions, not more meetings.
One team from architecture through App Store submission.
Engineering rigor
Eval suites, citation checks, and regression gates are part of definition of done — not a Phase 2 wish list.
Golden-set evals before every production promotion.
Partner, not vendor
We work alongside your cloud, data, and platform partners — we don't rip and replace your stack for sport.
AWS, GCP, Azure, and your existing identity provider.
Trust & governance
Governed by design — not bolted on before launch
Your CISO and general counsel should sleep at night. Security, evals, and auditability are architectural requirements — the same as latency and uptime.
See secure RAG capabilitiesPolicy on every surface
Guardrails, PII redaction, and topic boundaries on every agent and copilot — not bolted on after an incident.
Identity you already trust
SSO, RBAC, and tenant isolation aligned to Okta, Entra, or your existing IAM — users see one login, auditors see one trail.
Eval before ship
Offline golden sets and online canary checks. No release without measurable quality thresholds.
Operate with evidence
Drift monitoring, latency SLOs, and incident playbooks — so production AI behaves like production software.
Straight talk
Questions buyers ask before they sign
Ready to scope
Launch · Scale · Enterprise packages — or a custom squad.
Start with clarity, not a science project
Book a structured AI readiness assessment. We will map maturity, prioritize use cases, and outline the fastest credible path to production.