Comparison
ADK Intel vs Manual Advisory Delivery
Most advisory firms still run on Excel, PowerPoint, and tribal knowledge. Here's what changes when AI does the heavy lifting and your senior team focuses on judgment.
Request a demoFeature comparison
| Feature | ADK Intel | Manual advisory delivery |
|---|---|---|
| Meeting prep time per client | 15 min | 60–120 min |
| Monthly report production | 30 min (edit) | 2–4 hrs (build) |
| Quality consistency across team | High — standardized templates | Drifts with each staffer |
| Client health scoring | Automated weekly | Memory + spreadsheet |
| Capacity per advisor | 12–18+ clients | 5–8 clients |
| Onboarding new staff | 5–10 days | 60–90 days |
| Cross-client visibility | Real-time portfolio view | None — siloed per advisor |
ADK Intel workflow
- Standardized templates run firm-wide
- AI drafts; senior staff reviews
- Portfolio view surfaces at-risk clients
- Branded delivery on autopilot
Manual advisory delivery workflow
- Each advisor builds from scratch
- Quality varies
- Risk only surfaces in 1:1 conversations
- Branded delivery is a 2-hour PowerPoint exercise
Pick ADK Intel if
- Firms with 10+ clients ready to standardize
- Firms feeling founder-bottleneck pressure
- Firms wanting to add clients without adding analysts
Pick Manual advisory delivery if
- Firms with 1–3 highly-customized engagements
- Firms where every deliverable is bespoke
FAQ
Will switching break our existing client experience?
No — typically clients notice you're more responsive and more prepared. Branded delivery looks the same; it just ships faster.
How fast can we roll out across the firm?
Most firms pilot on 3–5 clients in weeks 1–4, then migrate the full book in weeks 5–10.
What about clients on non-standard GLs?
CSV upload supports any GL. We've onboarded clients from industry-specific systems within a week.
Won't our senior staff resist using AI?
Almost universally they don't — once they see meeting prep drop 75%. Resistance usually comes from leadership uncertainty, not staff.
ADK Intel was built by operators who ran fractional CFO and CAS practices — and got tired of Sunday-night prep. The team blends advisory firm partners, finance practitioners, and AI engineers who ship US GAAP/IRS-grounded analysis at scale.
Advisors should spend time on judgment, not data shuffling. AI replaces the analyst layer; senior advisors are the moat.
- Fractional CFO operations
- Client Advisory Services (CAS) productization
- Advisor capacity planning
- AI-grounded financial analysis
- White-label advisory delivery
- Standardized monthly client reviews