InnoviAi
AI consulting + implementation · Building software since 2008

The space between strategy and outcome — closed.

InnoviAi is a hybrid consulting and engineering firm. We modernize legacy operations, embed AI into the workflows you already run, and deliver measurable results on Microsoft Azure, Google Cloud, or AWS. Eighteen years of solving the problem, not just diagnosing it.

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Selected clients · Enterprise, healthcare, hospitality, and public sector
AwareNow.AI Marriott Suez SONIFI Health APS Wcities Perchin AwareNow.AI Marriott Suez SONIFI Health APS Wcities Perchin
Capabilities

AI consulting and implementation — under one roof.

Most AI consultancies stop at the strategy deck. Most implementation shops can't write the strategy. We do both — and the gap between them is usually where AI initiatives die in pilot.
/ Lead engagement

AI Pilot Rescue. We ship the second attempt.

Thirty percent of GenAI pilots get abandoned. The rest mostly ship late, over budget, or as a fraction of what was promised. Four weeks to diagnose what failed, rebuild it correctly, and re-pilot.

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/01 — Consulting

AI Strategy & Operations Diagnostic

Where AI fits in your operations, where it doesn't, and what the path from pilot to production actually looks like. Workflow audits, opportunity maps, build-vs-buy analysis, ROI-ranked intervention lists.

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/02 — Implementation

Production AI Delivery

Where the work actually gets shipped. LLM integration, agent implementation, system integration, change management. The unglamorous part that turns a working prototype into something your operations team uses every day.

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/ Position

AI initiatives don't fail at the strategy phase. They fail at production.

The market is full of AI strategy decks. Glossy roadmaps, reasonable-sounding pilots, twelve-month transformations. A year later, the proof-of-concept is still a proof-of-concept and the operations team is still doing the work the AI was supposed to handle.

We're built for the opposite engagement. We write the strategy, we build the system, we wire it into your existing operations, and we stay through the day it actually starts working. Same firm, same engineers, same accountability.

That's been our operating model since 2008. Eighteen years of building production software for enterprise clients — through the mobile shift, the cloud shift, and now the AI shift. The platform changes; the discipline doesn't.

/ 01 — Consulting + Implementation

AI for operational efficiency — strategy through production.

Most companies don't have an AI problem. They have an operations problem with an AI-shaped solution. The customer support queue that's drowning. The compliance review that took weeks last quarter and took longer this quarter. The expense report that requires three approvals across two systems. The internal knowledge base nobody can search. AI doesn't fix all of these — but it makes more of them tractable than executives realize.

InnoviAi exists because we've watched the same pattern repeat in every wave of enterprise tech. Leadership identifies a process that's broken. Hires consultants to map it. Hires a software vendor to implement it. The two never talk. The recommendation doesn't survive contact with the work. Six months in, the project is in pilot purgatory and the operations team is back to using the spreadsheet.

"The deliverable is a workflow that pays for itself by the next quarterly review. That's the only definition of done that matters."

We do both jobs in the same engagement. Our consultants have run real operations functions inside real companies. Our implementation team has built and run production systems for Marriott, Suez, SONIFI Health, APS, and AwareNow.AI — at national and global scale. They sit on the same project. They attend the same standup. They own the same outcome.

What that gets you: AI that pays for itself on a process you actually run today. Not a transformation initiative — an operating change. Reduced cycle time, reduced cost-per-transaction, reduced manual work, on a system your team owns and trusts.

We build on Microsoft Azure, Google Cloud, or AWS, integrate with the systems you already run (Salesforce, NetSuite, SAP, Workday, ServiceNow, Microsoft 365, the rest of the long tail), and embed AI where it actually compresses time — not because the model is impressive, but because the math works.

// What we measure on every engagement

Cycle
time

The metric you signed the SOW on

Measured weekly. Not at quarterly reviews.

Cost per
transaction

Before and after, with audit trail

The number that proves ROI to your CFO.

Time to
first value

The day the system reduces work

We don't measure success at go-live. We measure it the day the operations team gets a quieter inbox.

Adoption
rate

How many people use it 90 days in

The metric that decides whether the change stuck.

/ 02 — AI Consulting

AI that delivers. Not just demos.

Strategy, system design, implementation, and the boring production work that turns LLM and agent pilots into real revenue or real cost reduction.
/ AI.01
AI Strategy & Roadmap
Workflow audit, opportunity map, build vs. buy analysis, cost & latency budgets, prioritized 12-month AI roadmap with named owners.
/ AI.02
LLM Integration into Existing Products
Threading models into the workflows your customers already do — intake, support, search, summarization, content generation. Production-grade prompt engineering, retrieval, and fallback logic.
/ AI.03
Agent Implementation
Designing agent topologies (single-agent, supervisor-worker, swarm) around the actual job. Tool integrations, eval suites, and ROI quantification before renewal.
/ AI.04
AI Project Management
Running AI work like an engineering project, not a science fair. Written specs, weekly demos, eval-gated milestones, defensible cost models, board-ready status reporting.
/ AI.05
Architecture & System Design
Model-agnostic abstractions, routing layers, prompt and eval registries, observability stacks. Architecture you'll still want in 18 months.
/ AI.06
Evaluation & Observability
Eval suites built before prompts. Production monitoring, drift detection, continuous A/B testing. The infrastructure that lets you trust the system.
/ 03 — Production depth

Multi-cloud production work, since before AI was the headline.

Most AI consultancies have to subcontract the part where the system actually runs. We don't. Eighteen years of building production software for enterprise clients across the three major cloud platforms.
/ Cloud platform Microsoft Azure

App Service, Functions, AKS, Cosmos DB, Azure OpenAI, AI Foundry, Sentinel.

/ Cloud platform Google Cloud

Cloud Run, GKE, BigQuery, Vertex AI, Gemini, Pub/Sub, Cloud SQL.

/ Cloud platform Amazon Web Services

Lambda, ECS, RDS, Bedrock, SageMaker, S3, API Gateway, CloudWatch.

/ History

Since 2008. Still delivering.

Eighteen years of building enterprise software — through the App Store, the cloud, and now AI. Same firm, same discipline, new domain.
2008

Founded

Built around mobile, at the dawn of the App Store. Veteran engineers betting on a platform shift.

2012—2018

Enterprise scale

Delivering for Marriott, Suez, SONIFI Health, APS, and others at national scale.

2020—2023

Operations practice

Operations expertise joins the team. Engineers and operators on the same project, owning the same outcome — the model that becomes the InnoviAi engagement.

2023

AwareNow.AI flagship

AwareNow.AI scales to 3,800 cities — the firm's largest AI deployment, built end-to-end on Azure with AI consulting and implementation under one roof.

2026

InnoviAi today

InnoviAi. AI consulting and implementation, anchored by 18 years of production software depth.

/ Selected work

Real systems, not pilot demos.

A selection of engagements across business operations, AI, and engineering — each one delivered, each one still running.
/ 01
Public sector · Civic intelligence platform · AI

AwareNow.AI — civic intelligence scaled to 3,800 cities.

Client
AwareNow.AI
Practice
All three
Cloud
Azure

AwareNow.AI is a revolutionary civic intelligence platform — bringing AI-driven situational awareness, real-time signal aggregation, and decision support to municipalities, public safety teams, and civic operators. We partnered with the AwareNow.AI team to design and build the platform from the ground up: the AI architecture, the engineering rollout, and the operational model that's let it scale to 3,800 cities — well past where most platforms in the category ever reach.

/ 02
Utilities · Native iOS & Android · Engineering

Field reporting for one of the world's largest water utilities.

Client
Suez
Stack
Swift, Kotlin, Node
Status
Live, 4+ years

Suez delivers comprehensive water and wastewater management. We built a location-aware mobile application that became the reporting layer for both employees and customers — capturing incidents in seconds, routing them in real time, with offline-first capture for field crews working through dead zones.

/ 03
Healthcare · Mobile + Web platform · Engineering

Patient engagement, wired into hospital infrastructure.

Client
SONIFI Health
Stack
React Native, Python
Status
National rollout

A mobile engagement and patient education app tied into SONIFI's enterprise health care platform — used in hospitals, clinics, and long-term care facilities nationwide. We also shipped the web companion for at-home care, with HIPAA-aware data handling and integrations into the existing hospital television and signage infrastructure.

Hire the firm that closes the gap.

Most engagements start with a 30-minute call to figure out whether we're the right fit. We respond inside one business day with either a discovery call invite, a written take, or a polite "we're not the right firm for this" — whichever is most useful.

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