Case study
DAOS — an illustration of the method inside enterprise constraints
What this is. An operating system built inside a working agency, on the company’s own systems, using AppointForge’s architecture and methodology.
Ownership. Not owned by AppointForge. It stays with the company it was built for.
Why it is here. An illustration of capabilities within enterprise constraints. Approved tools. No outside software. No customer data.
Status. Built and documented. Operating pilot in progress.
Summary
Small agencies run on memory. Numbers get rebuilt before meetings, follow-up sits between roles, and a good fix fades when attention moves on. DAOS turns that into a loop: capture the friction, review it weekly against results, decide once, and keep what works.
The project covers the operating model, the tools, a growth plan, and a 24- and 36-month economic case. Built using the agency’s existing approved tools, with near-zero incremental cash expense. Internal build time and existing platform costs are separate.
Illustrative workflow
Illustrative. Not an actual office outcome.
- An employee records a recurring quote-follow-up problem.
- The weekly review checks aggregate evidence before treating it as a pattern.
- A workflow is approved with one owner and one completion standard.
- A dated summary preserves the decision for the next review.
- The same production numbers were rebuilt before team meetings because report definitions were never settled.
- Follow-up on quotes and service items sat between roles.
- Coaching and process fixes lived in conversations, so they faded when attention moved on.
- Good ideas accumulated faster than they became habits.
None of these show up in a monthly production report. All of them cost conversion, retention, and time. Customer data stays in approved systems, so DAOS uses only aggregate inputs and the team’s own observations.
What was built, on company systems
1. The operating system, DAOS v3.1
A written model defining roles, a weekly management loop, source discipline, measurable actions, and a minimum viable use pattern. The agent approves decisions. The team executes them. The system lowers the cost of noticing problems early and following through.
2. The tools
| Component | Purpose |
|---|---|
| Agency Inbox | Low-friction capture of informal operating observations. Connects notes to prior observations without inventing patterns. Routes to the right next step. |
| Control Center | Weekly management review against approved aggregate funnel and retention data. Checks whether a suspected problem is actually affecting results. |
| Workflow Builder | Drafts one-page processes: one definition, one owner, one review time, one completion standard. Owner approves before anything becomes policy. |
| Operating Profile | Maintains current priorities, definitions, and decisions so the tools carry continuity between sessions. |
Boundaries: no unattended monitoring, no customer-system access, no automatic task transfer. Humans carry handoffs. Dated summaries carry context.
3. The 48-month growth strategy
Candidate growth engines: new movers, existing-book development, multilingual service, small business, community authority. Constraint-based hiring gates and service-capacity protections. Written as hypotheses to be tested, not targets to be announced.
4. The economic case
A 13-page scenario comparing two identical agencies over 24 months. Monthly mechanics: new households equal quoted opportunities times conversion. Ending households equal beginning times annual retention to the 1/12, plus new. Revenue on average exposure. Incremental variable cost, cash expense, and implementation cost charged against the benefit.
- The comparison office improves too. Office A is competent, not a straw man.
- No benefit for the first three months. Setup is charged before anything is earned.
- Time savings are not monetized. A capacity budget prevents counting the same hour as salary savings, production, and time off.
- Overlapping mechanisms are not stacked.
- Every input is labeled an assumption. The $360 revenue proxy is not a commission rate or a compensation claim.
- Published research is a guardrail, not a multiplier. Brynjolfsson, Li and Raymond (2025) and Yotzov et al. (2026) bound expectations.
An independent rebuild from the printed assumptions reproduced every headline figure to the dollar and extended the scenario to 36 months. It surfaced a capacity constraint around month 30 that the original had not priced.
Results, modeled
Scenario outputs from stated assumptions. Not measured agency results.
| Measure | Office A | Office B (DAOS) | Difference |
|---|---|---|---|
| Active households at month 24 | 2,195 | 2,375 | +180 |
| Cumulative incremental operating profit | — | — | +$43,249 |
| Annualized revenue run rate at month 24 | $790,156 | $854,891 | +$64,735 |
| Break-even month | — | — | 13 |
Three-year extension: $102,000 to $124,000 cumulative advantage, depending on whether Office A catches up. Year 3 alone earns more than years 1 and 2 combined because the lead is stored in a larger retained book.
Owner-facing version, starting books of $500,000: $762,000 conventional, $888,000 with DAOS discipline, or $1,108,000 with DAOS plus team scaled into freed capacity, by year 3. Execution range at 24 months: –$10,800 with no measurable benefit, +$16,000 at half benefit, +$70,000 at 1.5×. No probabilities assigned.
Results, actual so far
- A complete, documented operating system and toolset exist on the agency’s approved platform at no cash cost.
- The economic model survived independent reconstruction without error.
- The next step is daily use: one note a day, in the agency’s own numbers.
The next step is a smaller ask: one note a day for 30 days, in the agency’s own numbers.
Outside replication
External replication costs depend on the scope, implementation method, and provider. The supporting analysis compares published service rates. It is an estimate, not a quote or a valuation of AppointForge. A selected two-year range in that analysis is about $85,000 to $270,000, rounded, and includes upkeep. The component rows do not add to that total by themselves.
In this illustrative example, a $500,000 premium book uses a 10% revenue assumption, producing $50,000 annually. Actual economics depend on product mix and the applicable arrangements.
What I would do differently
- Start with the 30-day ask, not the 13-page case.
- Price the build honestly from the start. The real cost was in-house hours.
- Extend the model to 36 months on the first pass.
- Use the agency’s numbers from day one.
All figures are synthetic scenario calculations. DAOS is not an AppointForge-owned product. No company is named. No compensation data, customer information, or measured performance results are included.