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N°000: ENTERPRISE AI, IN PRODUCTION
Production AI. Shipped.
Most enterprise AI projects stall between pilot and production. APLS helps move them forward, with security, governance, and measurable ROI built in from the first week.
SCROLL
Trusted across regulated, high-stakes sectors
Financial Services/
Healthcare/
Manufacturing/
Retail/
Public Sector/
Logistics
Pilot purgatory is where AI goes to die.
Most enterprise AI never leaves the lab. A proof of concept can impress a steering committee, then stall because of security reviews, missing data pipelines, or unclear ownership in production.
The gap is not ambition. It is the distance between a notebook that works once and a system that runs every day, under load, with auditable behavior and a budget line attached.
We close that gap. APLS designs, builds, and operates AI systems that survive contact with real users, real compliance, and real scale.
88%
of enterprise AI pilots never reach production.
9 MONTHS
lost, on average, to a stalled proof of concept.
4–8 WEEKS
our delivery cycle from blueprint to a system in production.
Four practices. One operating model.
01Strategy
AI Strategy &
Readiness
Readiness
Before investing, identify which use cases will pay off, which to retire, and whether to build or buy.
Assessments · Roadmaps · Prioritization → 0102Systems
Custom AI
Systems
Systems
We deliver tested, documented LLM applications, AI agents, and RAG pipelines with clear ownership.
LLM apps · Agents · RAG · ML → 0203Integration
Integration &
Automation
Automation
Connect AI to the systems your business already runs, including legacy stacks, APIs, and workflows.
Workflow · Legacy · Orchestration → 0304Governance
Governance &
Operations
Operations
We manage AI systems through security review and ongoing operations, with monitoring, compliance, and clear accountability.
Compliance · Monitoring · Managed ops → 04Assess. Architect. Build. Scale. Govern.
01
Assess
We assess each candidate use case for value, feasibility, and risk. The roadmap is based on evidence, not enthusiasm.
→ Deliverable: AI Readiness Report
02
Architect
We prepare a reference architecture, data flow, and build-vs-buy decision for each component, then review them with your security and platform teams.
→ Deliverable: Solution Blueprint
03
Build
Our 4–8 week delivery cycles produce production code, evaluation harnesses, and documentation, not a demo that breaks on the second prompt.
→ Deliverable: Production System
04
Scale
We prepare the system for organization-wide load, cost, and adoption, and model rollout steps and cost per outcome before you commit.
→ Deliverable: Rollout Plan
05
Govern
Monitoring, evaluation, and compliance are ready for audit, with immutable logs tracking drift, behavior, and spend from day one.
→ Deliverable: Operations RunbookPhase 01 / Assess
AI Readiness
Report
Report
01
Phase 02 / Architect
Solution
Blueprint
Blueprint
02
Phase 03 / Build
Production
System
System
03
Phase 04 / Scale
Rollout
Plan
Plan
04
Phase 05 / Govern
Operations
Runbook
Runbook
05
Outcomes, not output.
A claims operations team replaced its manual review queue with a governed AI agent. It logs every decision and sends exceptions to a person.
62%
reduction in average handling time, with full audit logging and zero unreviewed denials.
// CLAIMS OPERATIONS: NATIONAL INSURER
FIG. 04: AGENT TOPOLOGY
Built to pass the security review.
Enterprise buyers look closely at security, compliance, and model operations. We build them into the system from the start instead of documenting them afterward.
Deploy in your cloud, your region, your controls. Every model is evaluated before and after release, monitored in production, and accountable to audit.
G.01
SOC 2 Type II
Controls audited annually against the AICPA Trust Services Criteria.
G.02
ISO 27001
Information security management aligned to ISO 27001 controls.
G.03
Data Residency
Deploy in your cloud, your region, your VPC. Your data never trains a shared model.
G.04
Model Evaluation
Every model benchmarked against task-specific evals before and after release.
G.05
Production Monitoring
Drift, cost, latency, and behavior tracked continuously, with alerting.
G.06
Access & Audit
Role-based access and immutable audit logs for every model decision.
Built with the platforms you already run on.
APLS is a Microsoft AI Cloud Partner and listed on Salesforce AppExchange. Our connectors meet each platform’s partner standards, bringing AI agents into the systems your team already uses.
Microsoft
Bring the assistant into Microsoft Teams, where your team already works. Employees get answers and actions inside their existing chats and channels, using their Microsoft sign-in.
Bring us a problem worth solving.
Tell us where your AI initiative is stuck. We will respond within one business day with a point of view, not a pitch deck.
Message received.
We usually respond within one business day with a question to better understand the problem. Talk soon.