Finally, an AI platform as ambitious as the people using it

Devs.ai: Built for the people with the ideas

TL;DR

Devs.ai by AppDirect just launched a major expansion of its enterprise AI platform, and what’s now possible for organizations that are serious about AI has genuinely shifted. Any team can now build production-ready, branded AI apps on their own data in days, without touching infrastructure or waiting on engineering. A governed private AI store gives every employee a workspace that’s more powerful than any public AI tool they were using before. Devs.ai will soon connect natively to the 2,000+ services your business already runs on. And governance isn’t a feature bolted on at the end. It’s the foundation the whole thing is built on. Free to start. The results show up before your next renewal.

Every team has people who know exactly what needs to be built. Now they can build it.

Think about the people in your organization who have been sitting on great ideas for years. The marketing manager who knows exactly what customer intelligence tool would change their team’s output, but can’t get three hours of engineering time. The HR lead who has a clear picture of an onboarding experience that would cut ramp time in half, but has watched it stay on the roadmap for 18 months. The operations manager who could automate a process that eats 40% of their team’s week, if someone would just give them the right environment to build it.

These people have always existed. What’s been missing is the platform that lets them act. Devs.ai by AppDirect is built for exactly this moment, and it serves everyone in the picture, from the everyday builder to the leader accountable for making it all work safely.

• Employees and team members across every function can now turn their best ideas into real, working AI tools, trained on company data, without waiting on anyone else to build it for them.

• Business leaders and department heads can get the tools their teams actually need, whether that’s a sales CRM, an onboarding portal, or a deal-insights hub, without waiting months for an IT ticket or a vendor roadmap to catch up.

• Developers get a full professional development environment with access to 50+ AI models, the ability to choose the right model for each app, and everything needed to launch production-grade software in days rather than quarters, without assembling infrastructure from scratch.

• CIOs and IT leaders get full visibility and control over every AI tool, model, and dollar across the organization, without becoming the approval bottleneck that slows every team down. Devs.ai gives every department a governed place to build, so IT moves from chasing unauthorized tool use to leading the strategy.

• Technology advisors have a governed, enterprise-ready platform they can deploy on behalf of clients, with built-in security controls and AppDirect’s 400,000+ partner marketplace network already connected. 

Wherever you sit in that picture, read on for what just changed with Devs.ai from AppDirect.

If you're looking for concrete examples of what those ideas look like in practice, our recent guide 10 Ways AI Helps You Build What Your Business Needs is a great place to start.

Most organizations have an AI strategy. Few have it under control.

Boards have mandated it. Budgets have been approved. And workforces have already started, with or without IT’s knowledge or blessing.

That last part is where things get complicated. Employees are using public AI tools to draft sensitive documents, write production code, and build workflows that IT can’t see, audit, or stop. More than 80% of employees now use unauthorized AI tools at work, according to 2025 Reco. Forty-three percent acknowledge sharing sensitive or confidential company data with those tools. And 85% of organizations are underestimating their AI infrastructure costs by 40 to 60%.

And even the AI that is officially sanctioned is often running blind. It doesn’t know your company’s actual data, context, or processes. The average enterprise manages 364 SaaS applications, and fewer than 15% are natively integrated with each other. Every new AI tool added to that environment creates another gap. AI that can’t access the right data can’t deliver the right answer, and data integration is one of the single largest barriers to AI deployment at scale.

The result is a paradox most leaders recognize. Organizations are investing more in AI than ever and seeing less value than they expected. Not because the technology is inadequate. Because the platform needed to govern it, connect it, and make it genuinely useful across the whole organization simply hasn’t existed.

Until now. And the people who will feel that most immediately are the ones sitting with this problem every day.

The three reasons enterprise AI stalls, and how Devs.ai clears all of them

Enterprise AI consistently stalls for three reasons.

• Teams can’t build the tools they need without expensive engineering resources.

• The tools that do get built don’t reach the workforce safely.

• And even the best AI can’t do its job when it’s cut off from the data and systems the business actually runs on.

The newly expanded Devs.ai addresses all three. It’s built around the ability to Build AI apps and agents on your own data, to Collaborate through a governed internal platform the whole workforce actually adopts, and to Connect AI to the full technology estate your organization already runs on. Underneath all three sits a governance layer that makes every capability enterprise-ready by default, not as an add-on, not after a security review, not through a separate configuration project. Read more about how Devs.ai builds trust through security. 

From idea to working app, in a day

App Builder, the centerpiece of this launch, makes building real AI tools accessible to any team in your organization, whether that’s sales, HR, legal, marketing, or engineering.

Any team can now build production-ready AI applications trained on their own company data, in days, without touching a line of infrastructure code, without joining an engineering backlog, and without waiting on a vendor to release a feature that almost fits. Database, authentication, hosting, payments, and brand standards all come included. The starting points are proven templates for CRMs, dashboards, portals, onboarding flows, and more. Describe what you need, fork a template that’s close, make it yours, and have it running by end of day. 

One team arrived planning to buy $100,000 worth of software. They built what they needed instead.

For developers who want full control, App Builder includes a complete professional development environment. Describe what you want to build and get a working first version, then drop into the full editor for live preview, hot reload, multi-file editing, version history, and AI pair-programming on the same canvas. Two-way GitHub sync, a built-in terminal, package manager, and environment variables. Whether your team writes every line or none at all, the environment keeps pace.

Read more about App Builder.

A model for every task

Different apps genuinely need different models. A fast, lightweight model works well for an ops dashboard. A deep-reasoning model is the right choice for an analyst tool. App Builder lets teams choose the right LLM per app or per feature and swap freely as better options emerge, without rewriting prompts or losing the context an app has already built up. Fifty-plus models are available in one environment, on one consolidated bill across OpenAI, Anthropic, Google, Meta, and Cohere.

Everything is connected

Everything built on App Builder connects natively to the tools your organization already runs on. Permissions are inherited from every data source automatically. Agents can be embedded inside apps, and apps inside existing workflows. If you’re building customer-facing products, those products inherit your clients’ data permissions, so the apps you deliver are governed by their identity infrastructure, not yours.

From build to the whole workforce, fast

When a team is ready to share what they’ve built, they submit it for publishing. An admin reviews and approves or declines. Approved apps go into the company’s private AI store, the internal catalog where the broader workforce can discover and use them. Teams build freely. IT governs what reaches the workforce. Neither side has to compromise.

The AI platform that IT can approve, and employees will actually use

When employees use unauthorized AI tools, the instinct is to treat it as a compliance issue. Write a policy. Send a reminder. Block the tool. But that approach consistently fails, because the real reason employees reach for unauthorized AI isn’t defiance. It’s that the company-sanctioned option, where one exists at all, is slower, less capable, and less connected to the data they actually need to do their jobs.

The only fix that actually works is making the company’s own AI platform the best option in the room. That’s what the private AI store is designed to do.

Think of it as one front door to every AI tool in your organization. Employees open it, discover every app and agent that IT has approved, and find tools that are trained on actual company data and connected to actual company systems. That combination, real data, real context, company-specific knowledge, makes the private AI store more accurate and more useful than anything publicly available. When that’s true, employees choose it. Adoption happens naturally, without a change management campaign. 

Beyond individual use, multi-player collaboration means humans and agents can work together across systems and workflows rather than in separate tools. Agent Swarms coordinate multiple agents across departments the way human teams do across functions: a sales agent triggering a finance approval, a customer success agent surfacing a product insight, an IT agent handling access provisioning without a ticket queue.

The result is an organization where AI isn’t a collection of individual tools that people have quietly found and use on their own. It’s a shared capability that the whole workforce uses, that IT can see, and that leadership can measure.

See how your teams can make the impossible possible across your organization. 

Your data is your competitive advantage. Devs.ai connects AI to all of it.

There’s a reason even well-built, well-governed AI often disappoints in practice: it’s working with incomplete information. Customer data lives in the CRM. Financial data lives in the ERP. Project data lives somewhere else entirely. Conversations happen in Slack. Documents live in SharePoint. None of these systems talk to each other, and AI operating on any one of them has a partial picture at best.

The average enterprise manages 364 SaaS applications, and fewer than 15% are natively integrated with each other. Every new AI tool added to that environment creates another gap. AI that can’t reach the right data simply can’t produce the right answer, and no amount of model sophistication makes up for an information diet built on fragments.

Connected to everything your business runs on

Devs.ai’s Connect capability is what changes this. Soon, every app and agent built on the platform will connect natively to 2,000+ services across cloud, telecom, energy, hardware, software, and identity, with no middleware, no integration team, and no separate project required. MCP connectors extend this to enterprise systems using an open protocol built specifically for AI agents.

When AI has access to your full data estate, the experience of using it changes entirely. An agent that knows your CRM, your product catalog, your pricing history, your support tickets, and your team’s communication patterns doesn’t just answer faster. It answers better. It surfaces connections you didn’t think to look for. It reflects the actual intelligence of your organization, not just what’s available in a single system.

Connectivity runs both ways. AI reaches into enterprise systems to surface context and improve workflows, while enterprise data flows back into AI, making every agent smarter as the organization grows. The data estate becomes a compounding advantage, one that gets stronger over time rather than requiring constant maintenance.

Find anything, instantly, across every system

This also solves one of the most quietly expensive problems in enterprise work: finding information. Knowledge workers spend an estimated 20% of their working week searching for answers spread across disconnected systems [source: GTM playbook internal data]. Enterprise Search gives employees a single AI-powered interface that queries every system simultaneously. One question, every system, one accurate answer, in seconds. Permission-aware retrieval means employees only see results they’re authorized to access, so it’s comprehensive and compliant at the same time. 

And because Devs.ai works across 50+ AI models with no lock-in to any single provider, organizations can use the best model for each use case today and move to something better tomorrow, without rearchitecting workflows or losing context. The AI knowledge stays with the organization, not with any vendor.

Governance that enables instead of obstructs

Most enterprise AI governance tools ask you to make a tradeoff: tighter controls or more capability, but not both. Devs.ai is built on a different premise. Governance here isn’t the price you pay for capability. It’s what makes capability possible at enterprise scale.

Role-based access controls, SSO, audit trails, data residency controls, and spend visibility are built into the platform from day one, not configured on top after the fact. Every prompt, response, and agent action is recorded, searchable, and exportable. Every build is scanned before it goes anywhere: static code analysis, dependency scanning, secret detection, row-level security linting. Critical vulnerabilities block deployment automatically.

Your data stays yours. Public LLMs never see it. There’s zero training on your prompts, outputs, or files under enterprise agreements with every provider. Your workspace runs in a dedicated Azure tenant, not a shared pool, and can be hosted wherever your data residency requirements dictate: US, EU, UK, or regional pinning. On-prem deployment is available for workloads that can’t leave the building.

AI spend becomes visible and manageable across the entire organization, covering both sanctioned usage and what was previously happening outside IT’s line of sight. Every dollar is attributable to a team, a model, and a use case. Reporting AI ROI to the board becomes a matter of pulling a dashboard, not assembling estimates from incomplete data.

The certifications your security team will ask about are already in place: SOC 2 Type II, GDPR, ISO 27001, CCPA, and HIPAA-ready. Most of the security questionnaire your procurement team will send is already pre-filled.

Read more about security on Devs.ai

Your data is yours. Your models are isolated. Your team can move fast without your CISO finding out about it on a Slack channel.

What’s coming next

What’s launching now is focused on organizations building and governing AI internally. A second motion is coming for ISVs, developers, and technology partners who want to take what they’ve built and distribute it commercially through AppDirect’s ecosystem. That story involves PartnerStack’s affiliate network, AppDirect’s 400+ marketplace ecosystem, Tackle’s hyperscaler co-sell on AWS, Microsoft, and Google, and billing infrastructure that activates the moment a product is ready. More on that soon.

Stop patching. Start building.

Somewhere in your organization right now, someone has an idea that could change how a team works. Maybe it’s the operations lead who’s been mentally designing the same automation for two years. The sales manager who knows exactly what their team needs to close faster. The HR director who can picture the onboarding experience that would make new hires feel genuinely set up to succeed from day one.

Those ideas have always been there. What’s been missing is the platform to act on them, one that’s fast enough for the people with the ideas, safe enough for the people responsible for security, and connected enough to actually know the business it’s supposed to serve.

Devs.ai by AppDirect is that platform. Built from real operating pain inside AppDirect, a company that has spent 15 years running some of the world’s largest software marketplaces, and now available to every organization that’s ready to stop patching consumer AI into enterprise problems and start building something that actually fits.

Free to start. The outcomes show up before your next renewal.

Start building at devs.ai

More reading

• 10 Ways AI Helps You Build What Your Business Needs

• AI Readiness: The DOs and DON’Ts That Determine Success

• How to Build Purpose-Built AI Agents That Actually Solve Business Problems

• Fast-Tracking AI Value: Strategies for Immediate Impact