Engagement patterns
Recognizable starting points for serious internal AI work.
These are sample engagement patterns, not named client case studies. Each one shows a workflow Rowbase can help scope, build, and operate: the sources involved, the first useful version, and what has to be true for the system to be trusted.
Wealth management & family office
An owned knowledge layer for diligence, reporting, and decision support
A sample engagement pattern for family offices, investment teams, and wealth-management platforms that need AI to work across memos, reports, emails, data rooms, portfolio updates, and internal decision history.
Insurance
Policy-grounded workflows for claims, underwriting, and service teams
A sample engagement pattern for insurance teams that need answers, summaries, and workflow support grounded in policy language, endorsements, prior decisions, and internal operating rules.
Energy & infrastructure
Bid, regulatory, and project-memory workbench for infrastructure teams
A sample engagement pattern for infrastructure businesses where bids, regulatory research, contractor coordination, project knowledge, and restricted information all need to be handled carefully.
Proposal writing & bid support
Proposal drafting and review against approved source material
A sample engagement pattern for teams that need to draft, compare, review, and improve proposals or SOWs using prior work, requirements, pricing rules, legal guidance, and reviewer feedback.
Finance, reporting & analytics
A trusted reporting layer before dashboard and AI insight work
A sample engagement pattern for companies evaluating dashboards, reporting layers, consolidation workflows, or AI insight on top of existing finance and operating data.
Industrial services & field operations
Platform review and workflow support for operational businesses
A sample engagement pattern for businesses connecting quoting, CRM, field management, maintenance, fleet, inventory, financial systems, dashboards, and AI-assisted operations.
Have a similar workflow in mind?
Send us the industry, the workflow, the systems involved, and what a useful first version would need to answer or do.