Enterprise AI,
strategy to governance

Enterprise AI consulting services include AI strategy, custom AI systems, LLM integration, and governance, all within one accountable operating model.

All services →
01 / SERVICE
Strategy
AI readiness, use-case prioritization, and executive roadmaps.
→
02 / SERVICE
Systems
Custom AI systems: LLM applications, AI agents, and RAG.
→
03 / SERVICE
Integration
Legacy integration, API orchestration, and workflow automation.
→
04 / SERVICE
Governance
Security review, model monitoring, and compliance operations.
→

Production AI,
end to end

Products, solutions, and services run on one governed platform grounded in your data and ready for audit.

All products →
01 / PRODUCT
AI Assistant
Answers from your systems, actions taken, every response logged.
→
02 / PRODUCT
Service Management
Resolve more tickets automatically across IT and employee service.
→
03 / PRODUCT
Enterprise Search
One permission-aware answer across every system you run.
→
04 / PRODUCT
Agent Studio
Build and govern agents that take real action, within limits.
→

AI solutions,
by team and outcome

Explore enterprise AI solutions by team, outcome, and industry, including ITSM automation, self-service, cost reduction, and faster onboarding.

All solutions →
01 / INDUSTRY
Financial Services · Healthcare · More
Regulated, high-stakes sectors with one concrete use case each.
→
02 / INDUSTRY
Government
Secure, auditable public-sector AI.
→
EN हि ES FR AR
SOC 2 · ISO 27001 · Data residency on request
N°06 About: AI-Native Workforce

Every position, an AI visionary.

APLS pairs senior engineers with AI agents across strategy, delivery, and governance. Turning an impressive demo into a dependable system takes engineering discipline. We hold every human and agent accountable for its work.

A.1How we work
P.01

Small senior teams

Three to five engineers who have shipped before. No pyramid, no hand-offs to people you have never met.

P.02

Production bias

Working software in your environment every cycle. A demo that cannot survive security review does not count.

P.03

Evidence over opinion

Use cases are scored, architectures are benchmarked, and every model change re-runs the evals. Argument settled by data.

A.2Leadership

The people who answer for the work.

Pranav Saraf
Pranav Saraf
AI Visionary: Founding
Jason Steward
Jason Steward
AI Visionary: Founding
Ankita Saraf
Ankita Saraf
AI Visionary: Founding
SOC 2 TYPE IIISO 27001 ALIGNEDAWS · AZURE · GCP DEPLOYMENTSANTHROPIC · OPENAI · OPEN-WEIGHT MODELS
A.3AI-Native Workforce

Five more visionaries, none of them human.

We run AI-native ourselves before we ask clients to. Five standing agents sit alongside the leadership above, each carrying the AI Visionary title, each scoped to one job, each supervised by a named human owner.

Forge
AI Visionary: Engineering

Scaffolds services, writes test coverage, and opens PRs against the sprint backlog. Every merge reviewed by a human engineer.

Signal
AI Visionary: Marketing

Drafts campaign copy and content variants against the brand voice guide. Nothing publishes without sign-off.

Outreach
AI Visionary: Deployment

Runs staged rollouts, watches error budgets, and holds or rolls back a release the moment a threshold trips.

N0
AI Visionary: Orchestration

Routes work across the other agents and escalates anything outside its authority to the right human owner.

Doci
AI Visionary: Documentation & Governance

Keeps runbooks current, logs every model change, and prepares the evidence trail our audits actually use.

Meet the workforce that would build it.

Start a conversation →