InnoviAi
Hybrid consulting & engineering firm · Building software since 2008

The space between strategy and shipping — closed.

InnoviAi is a hybrid consulting and engineering firm. We modernize legacy business operations, embed AI into the workflows you already run, and ship production software on Microsoft Azure, Google Cloud, or AWS. Eighteen years of doing the work, not just the deck.

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

Four practices, one operating system.

Most consultancies hand you a deck. Most engineering shops hand you a build. We do both — and the friction between them is usually where projects die.
/01 — Operations

Business Operations

Transforming legacy business processes and tools into modern, AI-enabled workflows. Process redesign, change management, and software implementation in the same room.

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/02 — Intelligence

AI Consulting & Implementation

LLM and agent integration into existing products and workflows. Strategy, system design, evals, and the production work that turns pilots into P&L line items.

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/03 — Engineering

Software Engineering

Full software development lifecycle — discovery to launch. Mobile, web, backend, cloud. We also rescue codebases that previous teams left in the dust.

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/ Position

People who hire us want results — and they need them immediately.

The market is full of consulting decks. Glossy frameworks, beautiful slides, reasonable-sounding roadmaps. Twelve months later, nothing in the business actually changed.

We're built for the opposite engagement: a blend of deep software and business operations expertise that delivers results without the usual friction between management consultants and software implementation experts. Same firm. Same room. Same accountability.

That's been our operating model since 2008 — and it's why our clients come back, refer us, and trust us with the projects that have to ship.

/ 01 — Business Operations

Transforming the way your business actually runs.

Most companies don't have an AI problem. They have a workflow problem with an AI-shaped solution. The expense report that takes three approvals across two systems. The customer onboarding that lives in five spreadsheets. The compliance review that hasn't changed since 2014. The CRM nobody enters data into because it adds 20 minutes to every call.

InnoviAi's Business Operations practice exists because we've spent 18 years watching the same pattern: leadership identifies a process that's broken, hires management consultants to map it, then hires a software vendor to "implement" the new workflow. The two never talk. The deck doesn't survive contact with the codebase. Six months in, the project is in pilot purgatory and the operations team is back to using the spreadsheet.

"The deliverable isn't a slide deck. The deliverable is a workflow that pays for itself by the next quarterly review."

We do both jobs in the same engagement. Our operators have run finance, supply chain, and revenue functions inside real companies. Our engineers have shipped production software for Marriott, Sanofi, Suez, and SONIFI. They sit on the same project, attend the same standup, and own the same outcome. There is no handoff document because there is no handoff.

What that gets you: immediate, measurable ROI on a process you actually run today. Not a transformation initiative — an operating change. Reduced cycle time, reduced cost-per-unit, reduced headcount-to-revenue ratio, or reduced error rate, picked deliberately at the start of the engagement and tracked weekly until it lands.

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.

// Representative outcomes

68%

Reduction in handling time

LLM-assisted support triage for a healthcare client

4.2×

Throughput on document review

Agent pipeline for an enterprise compliance team

87%

Cost reduction per AI request

$0.31 in POC → $0.04 in production via routing

11 wks

Median time-to-first-ROI

Across business operations engagements, 2024–2026

/ 02 — AI Consulting

AI that ships. 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 — Software Engineering

Full software development lifecycle.

Discovery to launch and beyond. Mobile, web, backend, cloud. We also rescue codebases — about half of what we do — when previous teams went dark.
/ ENG.01
Discovery & Architecture
Two-week sprint that turns a fuzzy brief into a sharp roadmap — validated scope, realistic timeline and budget, platform recommendation, risk register.
/ ENG.02
Mobile Development
iOS, Android, React Native, Flutter. Native and cross-platform with the platform fluency that comes from shipping since the App Store launch.
/ ENG.03
Web & Backend
React, Angular, Vue. Node, Python, .NET, LAMP. Mobile-grade rigor for browser-first products. Multi-tenant, secure, observable.
/ ENG.04
Legacy App Rebuild & Modernization
Inheriting a broken codebase or a system written when jQuery was new. We audit, stabilize, modernize incrementally — without forcing a six-month rewrite freeze.
/ ENG.05
Cloud Architecture
We build on Microsoft Azure, Google Cloud, or AWS — your call, or ours if you'd rather we choose. Architecture, IaC, cost optimization, and the production work that keeps it running.
/ ENG.06
Embedded & Connected Devices
IoT, set-top boxes, kiosks. The surfaces that aren't a phone — the ones still running 90% of customer touchpoints in real industries.
/ 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 shipping.

Eighteen years of developing and launching new software products — through every platform shift from the App Store launch to today's AI era.
2008

Founded

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

2012—2018

Enterprise scale

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

2020—2023

Operations practice

Adding business operations expertise to the engineering shop. Same firm, same room, same outcome.

2023

AI practice opens

Formal AI Consulting practice launches. Early clients include AwareNow.AI, the civic intelligence platform now in 3,800 cities.

2026

Three practices

Business Operations, AI Consulting, and Software Engineering — operating as one firm with shared accountability.

/ Selected work

Production systems, not pilot demos.

A selection of engagements across business operations, AI, and engineering — each one shipped, 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.

Read the case study
/ 02
Enterprise · LLM agent pipeline · AI Consulting

4.2× throughput on regulated document review.

Practice
AI + Operations
Cloud
AWS
Outcome
87% cost reduction

An enterprise compliance team was reviewing thousands of vendor contracts and regulatory filings by hand. We designed an agent pipeline that extracts clause-level risk signals, surfaces them to human reviewers with confidence scores, and learns from accept/reject feedback. Per-request cost dropped from $0.31 in POC to $0.04 in production.

Read the case study
/ 03
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.

Read the case study
/ 04
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.

Read the case study

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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