ClarityEdge Intelligence
A data and intelligence harness that fits the office, not the other way around.
Not a software product: how we build data and intelligence for family offices. A foundation the office controls, rules for how intelligence may use it, and the right model for each task.
Our view: private, governed intelligence
Privacy is a reason family offices exist. Intelligence shouldn't erode it.
Families go to great lengths to keep their affairs private: entity structures that keep ownership out of public view, confidential deal terms, tax and estate plans, family governance, health matters, travel and security arrangements. Sending that information to model services the office doesn't control quietly undoes that work. Frontier models are excellent rented intelligence; your most sensitive information belongs on intelligence you control.
Sensitive stays in-house. Everything else can use the best models available, under rules you set.
Intelligence
Swappable
Rented frontier models, plus private and local models for sensitive work, chosen per task
Privacy and controls
Owned by the office
Permissions, review, and audit logs
Context
Owned by the office
Entity structures, business rules, procedures, and approved documents
Unified data
Owned by the office
One governed foundation across ledger, investments, documents, and custodians
The governance framework alongside it
- 1Acceptable use. What intelligence tools may and may not be used for in the office.
- 2Roles and permissions. Who may ask what, about which entities and documents.
- 3Human review. Approval before anything consequential is sent, booked, or recorded.
- 4Evaluation. Testing answer quality against known cases before and after changes.
- 5Logging and audit. A reviewable record of questions, sources, models, and reviewers.
- 6Change and incidents. How models, prompts, and rules change, and what happens when something goes wrong.
The harness
Watch it work: three questions, three different controls.
Figures come from the ledger by rule. Documents go only to models approved for them. Anything out of scope stops at the door. Every step is logged.
Harness walkthrough
Simulation · sample dataChoose a question:
Pick a question to watch each control run: permissions,
approved sources, model routing, review, and the log.
Data ownership
Ownership is a set of properties you can check.
- Access
- Staff can query the office's own data directly, through tools the office controls.
- Portability
- Data can leave a platform complete and usable, with history, when a contract ends.
- Documented definitions
- Commitment, NAV date, look-through ownership, and performance basis mean one thing.
- Permissions
- Access to sensitive information, including by models, is decided and recorded by the office.
- Integrations
- The office knows which systems exchange data, when, and who fixes a failed feed.
- Continuity
- Rules and context are recorded, so knowledge stays when a person, vendor, or model changes.
Questions
Before you start with intelligence.
What is yours, what is ours
Yours: your data, your business rules, and the deliverables you contract for, as set out in the engagement agreement.
Ours: the general frameworks and methods we bring to every engagement.
Should our intelligence run in the cloud or on our own hardware?
Both, by design. Sensitive information, such as ownership structures, estate and tax plans, family matters, and confidential deal terms, stays on infrastructure the office controls. Everything else can use the best frontier models available, under rules the office sets. Private and local deployments carry tradeoffs in capability, cost, and upkeep, which we plan for.
How do we know if we are ready for intelligence?
Intelligence becomes useful when it has reliable information, the right context, explicit rules, and someone accountable for review. If numbers still need manual reconciliation, that foundation usually comes first, and we build it.
How do you handle our information and privacy?
We work under confidentiality terms agreed at the start, request only the access each task requires, and prefer building inside your environment over copying data out of it. Each design describes its specific controls and who is responsible for them.
Next step
Considering intelligence, or a better data foundation first?
Tell us about your office, your systems, and what is getting in the way. You will speak directly with Greg. If ClarityEdge is not the right fit, you will still leave with a clearer view of your options.