Cut manual intake, document sorting, renewal tracking, and market monitoring with AI your staff reviews, custom dashboards, and connected client records.
These tools support monitoring, intake, and internal preparation. They do not trade, give investment advice, or make underwriting decisions. Your professionals review important outputs, and we do not certify regulatory compliance.
Each piece is scoped around your process, your systems, and the review steps your firm requires.
Track portfolio triggers, trailing stop levels, policy renewals, or operating metrics with scheduled checks and email or push alerts. Alerts only: nothing is traded automatically.
Connect intake forms, document collection, e-signatures, and CRM records so staff stop chasing paperwork by hand.
Organize incoming policy documents, statements, and forms with AI-assisted extraction. A person reviews every result before it is used.
Set up a company-controlled AI workspace such as Open WebUI or LibreChat, or an enterprise Claude or OpenAI plan, with access and spending controls.
Keep client check-ins, annual review reminders, and referral partner tracking organized in one place.
Your agency management system, planning software, and CRM probably hold much of the data already. We start there.
When it fits:Your system can already do it, but reminders, fields, or workflows are not set up.
How we help:Configure what exists, write clear procedures, and train the team.
When it fits:Intake, documents, CRM, and billing each hold part of the client record.
How we help:Link them so staff enter information once and renewals and reviews do not slip.
When it fits:You need monitoring, a dashboard, or a review step that no product in your stack provides.
How we help:Agree the scope and the review rules in writing, then build and test with your real examples.
What we can connect depends on the access and features of each system. We check that before recommending a build.
Review how intake, documents, renewals, or monitoring work today, and who signs off at each step.
Confirm the work, price, estimated timeline, review rules, and how you will decide it is ready. You approve before building starts.
Review working software as we go, using sample or redacted records where appropriate.
Roll out to a small group first, with access controls, training, and written instructions.
A 14 to 30 day improvement period against the goals you agreed, followed by optional ongoing support.
We confirm a timeline estimate after reviewing systems, data, access, and review turnaround. Estimates are not guarantees.
See our delivery processFinancial and insurance work carries rules that we do not own. These limits apply to everything on this page.
AI-assisted extraction, summaries, and drafts are checked by a qualified person before anyone relies on them or sends them to a client.
Our tools support monitoring, intake, and internal preparation. They do not execute trades, give investment advice, or make underwriting decisions.
Your legal and compliance advisers govern FINRA, SEC, and state insurance requirements. We build to the rules you give us.
We agree who can see which client records and which actions are logged before anything is built.
Everyday Workflows does not certify regulatory compliance and is not a substitute for your legal or compliance advisers. How we handle your data.
Projects are scoped in writing, and the price is agreed before work starts.
Full detail on how pricing works.
Finance and document-processing projects we have delivered. Some are in other industries, and each shows its own client context.
Manual tracking was slow and risked missed price triggers. A dashboard combines scheduled market checks with trigger alerts, not automated trading. Dynamic 8% and 16% trailing stop levels, multi-category assets, price-error detection, email and push alerts, Excel import/export, and responsive dark-mode views support monitoring. Prices update every 5 minutes.
20+ hours weekly spent manually reviewing legal documents. AI sorts incoming legal documents and sends them to the document management system.
Slow, manual financial review; complex data. Automated reporting, AI-powered insights.
Case results are client-reported from our published case studies. We have not had them independently verified, and your results will depend on your starting point, data, and team.
Two client projects, shown as they run. Each links to its full case study.
Share the process, your current systems, and who has to review the result.
Optional and separate from assessment, build, and support.