Do you train models on our data?

No. Your data is not used to train foundation models. Prompts, outputs and business data remain within your environment by default. Any fine-tuning or retrieval index is scoped to your tenant and deleted on request.

Who owns the IP and the code you build?

You do. All custom software, agents, data pipelines and models we build under an engagement are transferred to you with full IP ownership. There is no vendor lock-in on the code we deliver.

How do you get an AI pilot into production?

We scope pilots against a real business KPI, not a demo. From day one we plan for the production path: security review, integration with source systems, monitoring, evaluation and a rollout plan. Most pilots move to production in the same quarter they are validated.

What does a typical engagement and timeline look like?

A strategy sprint takes 2 to 4 weeks. A focused pilot typically ships in 4 to 8 weeks. A full custom platform or modernization program usually runs 3 to 9 months, phased so value lands early. Dedicated pods run on multi-quarter engagements.

Enterprise & Mid-Market AI Transformation

From AI pilots to production systems your business runs on.

We help mid-market and enterprise teams deploy secure, scalable AI, custom platforms, production agents and automation, engineered for measurable business outcomes, not experiments.

Talk to an AI Solutions Architect See how we engage

Appnox Enterprise AI Console

Production · Region: us-east-1

Healthy

Agents in prod

18.4k

Runs / day

99.98%

Uptime 30d

Active workflows

Contract review agent342 today
Invoice triage & routing1,208 today
Internal knowledge assistant2.6k queries
Sales inbound qualification487 today

SSO · RBAC · Audit log Governance active

Trusted across regulated and mid-market enterprises

HIPAA-aware SOC 2 (in progress) ISO 27001 (in progress) 5.0 on Clutch

The Challenge

Why enterprise AI stalls, and what it costs

Pilots that stall before production

AI proofs of concept that never make it out of the lab, wasted budget and no measurable ROI.

Siloed data blocking automation

Data trapped across CRMs, ERPs, warehouses and spreadsheets, making meaningful AI impossible.

Legacy systems that don't scale

Aging platforms and manual processes that slow every new initiative and inflate operating cost.

Security, compliance and governance risk

Unclear controls around data, models and access, stalling enterprise-wide AI adoption.

What We Deliver

A full-stack enterprise AI capability, on tap

AI Strategy & Transformation Roadmap

A prioritized, board-ready plan that ties AI investment to concrete business outcomes.

Custom AI Agents & Workflow Automation

Production agents embedded into existing tools to automate operations end to end.

Custom Platforms & Legacy Modernization

Rebuild critical systems as modern, AI-ready platforms without disrupting the business.

AI-Ready Data Infrastructure

Unified pipelines, warehouses and vector stores that make your data usable by AI.

Cloud, DevOps & Integrations

AWS, Azure and GCP infrastructure, CI/CD and integrations across your enterprise stack.

Security, Governance & Compliance

Access controls, audit trails, model governance and a clear compliance posture.

Appnox AI Products for Enterprise

Production-ready AI, built for enterprise workloads

Deploy our AI products standalone or as accelerators inside a custom build.

Knowledge AI

Turn scattered internal docs, SOPs and policies into an instant, cited internal expert.

Enterprise use case: Give ops, support and field teams one place to ask, with answers grounded in your own documents.

Book a demo

Workflow Automation Agents

Production AI agents embedded into existing tools to automate operations end to end.

Enterprise use case: Automate ticket triage, invoice processing, RFPs and back-office workflows across systems.

Book a demo

PipeClose

AI sales engine for enterprise revenue teams.

Enterprise use case: Qualify inbound, automate follow-ups and forecast pipeline across long, multi-stakeholder cycles.

Book a demo

AI Transformation Roadmap

From experiment to enterprise-wide adoption

Assess

Audit systems, data and workflows. Identify highest-ROI AI opportunities.

Prioritized roadmap

Pilot

Ship a focused pilot against a measurable business KPI, in weeks not quarters.

Working pilot with metrics

Productionize

Harden the pilot into a production system with security, monitoring and SLAs.

Production deployment

Scale

Extend the platform across teams, geographies and use cases.

Enterprise-wide rollout

Govern

Ongoing model governance, access reviews and continuous improvement.

Governance & operating model

Security & Governance

Enterprise-grade controls, built in from day one

We design every engagement to pass enterprise security review. Actual controls are confirmed per engagement based on your environment and requirements.

Deployment options

Deploy in your own cloud account (AWS, Azure or GCP) or a dedicated single-tenant environment, based on data sensitivity.

Encryption in transit and at rest

TLS 1.2+ for all traffic and industry-standard encryption at rest for stored data.

Role-based access control

Granular RBAC, SSO integration and least-privilege access across environments.

Audit logging

Detailed audit trails for user, admin and model activity to support internal and external reviews.

Data residency & isolation

Regional deployment options and tenant isolation for regulated and cross-border workloads.

Model & data usage policy

Your data is not used to train foundation models. Prompts and outputs stay within your environment by default.

Human-in-the-loop & model governance

Review gates, guardrails and evaluation harnesses for agents operating on high-impact workflows.

Compliance posture

HIPAA-aware architecture. SOC 2 and ISO 27001 in progress. Security review packs available on request.

Integrations

Plugs into the enterprise stack you already run

CRM, ERP, ITSM, data warehouses, identity, cloud and custom APIs.

Salesforce HubSpot SAP Oracle ERP NetSuite ServiceNow Snowflake Databricks BigQuery Redshift AWS Azure GCP Okta Azure AD Jira Confluence SharePoint Slack Teams REST APIs GraphQL Kafka

How We Engage

Three ways to work with Appnox

AI Strategy Sprint

Fixed-scope 2 to 4 week assessment. Prioritized roadmap, target use cases, architecture and business case.

Best when you need a clear, funded plan.

Custom Build

Senior product team delivers a defined platform, agent system or modernization program on a fixed timeline.

Best when the target use case is clear.

Dedicated Engineering Pod

Embedded long-term team of engineers, AI specialists and product leads operating as an extension of yours.

Best for multi-quarter transformation.

You own all IP and source code we deliver. No vendor lock-in.

Proof

Outcomes across recent engagements

Aggregate results across recent Appnox enterprise and mid-market engagements. Named references available under NDA.

Weeks

From kickoff to first pilot

3 to 5x

Typical automation ROI

24/7

AI operations coverage

FAQ

What enterprise buyers ask us most

We deploy inside your cloud account or a dedicated single-tenant environment based on your data sensitivity. Data is encrypted in transit and at rest, access is controlled through SSO and role-based permissions, and admin and model activity is logged for audit. Security review packs are available on request.

Related Insights

Reading for enterprise leaders

Insight

The Future of Enterprise AI

Read article

Insight

Custom Software vs SaaS: Choosing for Scale

Read article

Talk to us

Tell us what you're solving. We'll respond within one business day.

Or book a strategy call and walk through your AI roadmap with an Appnox solutions architect.

HIPAA-aware architecture. SOC 2 & ISO 27001 in progress.

sales@appnox.ai

Talk to an AI Solutions Architect