LovableA roadmap across Microsoft, AWS, Google, OpenAI, Anthropic and Lovable. Built around healthcare operations, public services and enterprise portals—with defined outcomes, approved data and human oversight.
What the data says
280,000
professionals given AI access in one rollout
Copilot in Teams, Outlook and Excel came first. A shared agent platform on Foundry came second.
Source: KPMG50%
faster AI app builds on one central platform
Search, content safety and evaluation built in once, reused by every team. 75+ use cases, 16 in production.
Source: AccentureStep by step
is how agentic AI scales
Steady rollout plus contained experiments, with cost and speed to value checked before scaling.
Source: DeloitteOur AI roadmap
Target phases across providers—not a commitment to deploy every tool. Client needs, validation and service availability determine what ships.
Q1 2027
AI readiness across Microsoft 365, Drupal/Acquia and business workflows
Compare Copilot, ChatGPT, Claude and Gemini against approved business tasks
AI-assisted prototypes and sites, reviewed by our team
LovableQ2 2027
Healthcare intake assistance with reviewed summaries, signature routing and payment follow-up
Public-service search and publishing assistance on Drupal and Acquia
HR, policy and approval pilots in Microsoft 365
Q3 2027
Build task-specific agents on the cloud that fits each client's data and operating requirements
Evaluate OpenAI, Anthropic and Gemini models on accuracy, cost and response time
Connect approved records and tools with scoped access and human approval
Q4 2027+
Provider-aware evaluations, access reviews and cost reporting across clouds
Reusable healthcare, public-service and enterprise workflow patterns
LovableRegulated deployment patterns, subject to service availability and client approval
How we adopt AI with you
Map content, permissions and workflows across Microsoft 365, Drupal, cloud services and business applications. Rank the use cases by value and data sensitivity.
Finish line: An agreed shortlist, data boundaries and success measures
Pilot the assistant that fits each team: Copilot for Microsoft 365, Claude or ChatGPT for approved tasks, and Gemini for Google workflows. Train users and measure adoption.
Finish line: A reviewed pilot with an active-use and quality baseline
Connect intake, document preparation, signatures and approvals. AI drafts and routes; people approve actions involving patients, money or official decisions.
Finish line: One measured workflow with approval and audit controls
LovableChoose Microsoft Foundry, Amazon Bedrock or Google's agent platform to connect approved knowledge and business tools. Compare models on accuracy, privacy, latency and cost.
Finish line: An agent that passes evaluation before release
Keep an inventory of agents across providers. Review access, source quality, unsafe outputs, human overrides and spending before expanding to another workflow.
Finish line: A recurring value and risk review with named owners
What's changing
Microsoft Ignite informs our Microsoft track; AWS, Google and Drupal shape the wider roadmap.
One platform for models (GPT and Claude), Foundry IQ retrieval, hosted multi-agent workflows and publishing agents straight to Microsoft 365.
Microsoft Azure Blog, Ignite 2025Microsoft framed Ignite around the "Frontier Firm": human-led, agent-operated, with agents managed and secured like staff.
Microsoft Copilot Blog, Ignite 2025Copilot reasons over SharePoint metadata, pages and labeled files. Clean structure is what makes answers right.
Microsoft SharePoint Blog, Ignite 2025Already in practice
Existing client platforms are the foundation. The AI enhancements below are planned—not claims of live AI deployments.
Patient forms, e-signatures, payments and treatment plans connected across practice brands.
Planned AI layer: flag incomplete intake, draft administrative summaries and route follow-up to staff. Clinical decisions remain with clinicians.
Agency publishing, careers search and employee resources built on Drupal and Acquia.
Planned AI layer: source-linked service answers, natural-language careers search and editor assistance through Drupal AI or approved cloud models. Official content stays human-reviewed.
Portals, document libraries and workflows for enterprise and municipal teams.
Planned AI layer: permission-aware Copilot answers, document discovery and request-routing agents. Cloud and feature availability are checked for each tenant.
Our AI stack
Platforms in our roadmap, selected by use case, data requirements and operating cost. BoldSign and Stripe connect workflows; they are not AI models.
Assist
Build & deploy
LovableKnowledge
Connect & act
Govern
AI you can trust
Agents respect existing SharePoint permissions and sensitivity labels.
AI drafts and suggests. People decide and sign off.
Every AI feature we ship is tested to WCAG 2.1 AA.
Designs that fit Commercial, GCC and GCC High rules.
Lovable