AI Opportunity Assessment
See exactly what you get.
This is a structural sample of the written deliverable every AI Opportunity Assessment produces. Client specifics are redacted. The methodology, voice, and format are representative of actual work product.
Important: This is a structural sample, not a real client document. All firm names, volumes, and financial figures are illustrative placeholders, not documented outcomes. No guarantee of results is expressed or implied.
Workflow Inventory and Exposure Map
Section D1 of the assessment deliverable. Describes what exists, without judgment. Used to anchor the opportunity analysis and compliance review that follow.
Prepared for: [REDACTED] · Independent Insurance Agency · Commercial Lines
1.1 Workflows Evaluated
The following workflows were mapped across two discovery sessions totaling approximately 2.5 hours. Volume and time estimates are based on staff-reported data unless noted as benchmarks.
| Workflow | Volume | FTEs | Avg. Time / Unit | AI in Use? | Human Review? |
|---|---|---|---|---|---|
| COI Generation | [REDACTED] / week | 2 CSRs | 14 min standard 45 min non-standard |
No | None documented |
| Policy Intake (AMS entry) | [REDACTED] / month | 1.5 CSRs | 12 min (est.) | No | Informal spot-check |
| Renewal Prep (commercial) | [REDACTED] / month | 1 producer, 1 CSR | 4.5 hrs / account | No | Producer reviews, not logged |
| Client Outreach (renewals, service) | [REDACTED] / month | 2 CSRs | 8 min / message | Informal (ChatGPT for drafts) | None documented |
| FNOL Intake | Low volume | 1 CSR (triage) | 20 min | No | Handler routing only |
1.2 Key Observations
- The COI and client outreach workflows have the highest volume and the weakest documentation chain. Neither has a formal review step before outputs reach certificate holders or clients.
- Staff are using ChatGPT informally for drafting client emails. This use is not tracked, reviewed, or logged. The outputs reach clients without a documented licensed-staff approval step.
- Renewal prep is handled competently but relies on one producer. The pipeline is not visible to principals until 30 days before renewal on most accounts, per staff report.
- AMS data entry is entirely manual. Errors in policy records are discovered reactively, typically when a COI or renewal package contains incorrect information.
Compliance and Risk Review: Sample Finding
Section D3 of the assessment. Flagged exposure points from the risk audit, with context and recommended control. Written in plain language the principal can act on.
FRAMING STATEMENT (INCLUDED VERBATIM IN EVERY REPORT)
This section identifies operational exposure points relevant to your regulatory environment. It is not legal advice. The items below indicate where we recommend engineering controls and where your legal counsel should verify specific compliance requirements.
Finding 1 of 4: AI-Drafted Client Communications Without Documented Review
| Exposure type | E&O liability |
| Severity | High |
| Current control | None documented |
| Recommended control | Approval inbox + timestamped audit trail before any AI-drafted message reaches a client |
What we observed
Two CSRs are currently using ChatGPT to draft client emails, including renewal outreach and coverage change follow-ups. These drafts are reviewed informally before sending but the review is not logged. There is no record of who reviewed the draft, what changes were made, or when the message was sent. This is consistent across the client communications workflow.
Why it matters
Every AI-drafted client communication that reaches a client without a documented licensed-staff review is an undocumented coverage representation. In the event of an E&O claim, the question is not whether the communication was accurate. It is whether the agency can demonstrate a licensed professional reviewed it before delivery. Without that documentation chain, the agency cannot produce the evidence its E&O carrier needs to mount a defense.
This is not a theoretical risk. The absence of a contemporaneous approval record is a common contributing factor in E&O claim defenses. The fix is an engineering one: require every AI-drafted communication to pass through an approval inbox before it can be sent, and log the approval with a timestamp.
Recommended control
Install the client-communication approval inbox as part of the implementation project. Requirement: no AI-drafted client message sends until a licensed staff member opens the draft, reviews it, edits if needed, and clicks approve. The system writes: draft created, reviewer [name], approved [timestamp], sent [timestamp]. That log is your E&O documentation.
Not legal advice. Confirm with your E&O carrier that this control satisfies their requirements for your specific policy.
Prioritized AI Opportunity Roadmap
Section D2 of the assessment. Ranked by ROI magnitude, implementation complexity, and governance risk. Plain-English explanation for each opportunity.
Ranked by: (1) ROI magnitude, (2) implementation complexity (lower = ranked higher), (3) governance risk (lower = ranked higher), (4) urgency. Implement in rank order unless a specific constraint changes the sequence.
| Rank | Opportunity | What AI Does | What Human Reviews | Implementation Complexity | Governance Requirement |
|---|---|---|---|---|---|
| 01 | Client Communication Approval Inbox | Drafts renewal outreach, coverage follow-ups, and service responses from templates and policy data | Licensed agent reviews every draft before send; edits inline if needed | Low | Approval inbox + timestamped audit trail |
| 02 | COI Generation | Reads inbound COI request, retrieves policy from AMS, drafts ACORD 25 with correct certificate holder details; routes to approval queue | Agent reviews draft against policy record; approves or escalates non-standard requests to human queue | Low to Medium | Approval queue + delivery log + E&O audit entry |
| 03 | Policy Intake / AMS Data Entry | Reads ACORD forms and carrier documents; pre-populates AMS fields | CSR reviews extracted data before AMS commit; discrepancies flagged for human resolution | Medium | Human QC step before every AMS write; flagged-field review |
| 04 | Renewal Triage | Flags at-risk accounts 90 to 120 days out; assembles renewal worksheet and remarketing data | Producer reviews triage list; makes every coverage recommendation and client call | Medium to High | Producer sign-off on flagged accounts; AI never makes coverage recommendation |
ROI Model Structure
Section D1 + C-series of the assessment. Shows how the business case is built from your actual workflow data and industry benchmarks. All inputs are labeled by source.
Illustrative structure only. The numbers below are placeholder examples using a hypothetical firm profile. They are not All About AI client results and are not a projection of what your firm will achieve. All inputs in a real assessment are either drawn from your reported workflow data or labeled as industry benchmarks with their sources cited.
Standard disclaimer (included verbatim in every report): The figures below are based on your reported workflow volumes, your reported staff costs, and industry benchmarks from the sources cited. They are planning inputs to help you evaluate the business case for this project, not predictions or guarantees. Actual results will depend on factors including staff adoption speed, payer behavior, claim mix, and market conditions outside our control. All About AI makes no guarantee of specific cost savings, revenue improvements, or risk reduction outcomes.
Input Variables (Illustrative)
| Variable | Value Used | Source |
|---|---|---|
| COI requests per week | [Client-reported] | Interview |
| Minutes per COI (standard) | 15 min | Perspective AI, 2026 (benchmark) |
| CSR burdened hourly cost | [Client-reported] | Interview |
| Commercial renewals per month | [Client-reported] | Interview |
| Hours per renewal (triage + prep, not final decision) | 4 to 6 hrs per account | Industry estimate (benchmark, labeled) |
| E&O deductible | [Client-reported] | Interview |
| AI labor reduction rate (COI, intake) | 79% | Perspective AI, 2026 (vendor-sourced benchmark) |
Planning Model Output (Conservative and Base Case)
| Component | Conservative Case | Base Case | Note |
|---|---|---|---|
| COI labor savings | [$ from client data] | [$ from client data] | 79% benchmark, vendor-sourced |
| Renewal prep savings | [$ from client data] | [$ from client data] | 50% of triage time, internal est. |
| E&O risk reduction value | [$ planning est.] | [$ planning est.] | Probability assumption, see note |
| Total annual business impact | [Conservative total] | [Base total] | Planning input only |
| Project cost | Fixed fee, confirmed in writing at SOW signing | ||
| Payback period | [X months] | [X months] | Project cost / monthly benefit |
Our commitment
If the assessment does not uncover value worth the fee, we say so in writing.
We do not propose an implementation unless the assessment justifies one. That is not a policy we offer. It is a constraint we build the engagement around.
Assessment fee: $5,000 to $6,000 fixed. Confirmed in writing before any work begins. The deliverable is yours whether or not you proceed to implementation.