Production over pilot
We do not declare an engagement successful until the model is running in production against a measurable business KPI. Pilots that die quietly are not a result — they are a sunk cost.
We help mid-market and enterprise teams move AI from pilot to production across twelve service lines — strategy, data foundations, training data, generative AI, agentic workflows, NLP, computer vision, classical ML, MLOps, governance, managed services, and enablement — under one accountable delivery model.
Most consultancies cover three or four of the disciplines an enterprise AI program actually needs. The gaps fall on the customer — who is left integrating multiple vendors, reconciling competing recommendations, and owning the seams between strategy, build, and operations.
PCCVDI runs all twelve lines under one delivery model. Your data foundation work talks to your generative AI build. Your governance team sees the same code as your engineers. Your managed-services contract starts on the same day the system goes live. The result is fewer hand-offs, faster decisions, and AI programs that are easier to operate two years on than they are at launch.
We do not declare an engagement successful until the model is running in production against a measurable business KPI. Pilots that die quietly are not a result — they are a sunk cost.
Glamorous use cases on shaky data fail. Boring infrastructure — clean data, careful evaluation, repeatable deployment — wins consistently. We invest in the foundations every program needs and most skip.
If the use case is wrong for AI, we say so. If your data is not ready, we say that too. We would rather lose a deal than ship work that is going to fail visibly six months in.
ISO 42001 alignment, EU AI Act readiness, ISO 27001 controls, and AI red-teaming are part of standard delivery — not a paid add-on. Procurement is easier when governance is not an afterthought.
We avoid single-vendor lock-in by design. Every system we build can swap foundation models, vector stores, and clouds with bounded engineering effort. Optionality is durable value.
Models drift. Data changes. Regulations land. Our managed-service practice keeps systems improving long after the initial build — because the second year is when AI investments either compound or quietly die.
12+
AI service lines under one roof
6–12 wk
Typical MVP-to-production timeline
24/7
Managed-service incident response
ISO 42001
AI governance readiness built in
We publish our security posture, AI principles, and compliance alignment openly — because procurement teams need to see them and our customers deserve them.
Visit the Trust CenterOperating to SOC 2 and ISO 27001 controls.
ISO 42001-aligned management system.
EU AI Act and NIST AI RMF alignment built in.
GDPR + DPDP-aware data handling.
Book a 30-minute consultation. We will walk through the use case, sketch the value case, and tell you honestly whether we can help.