Five Sigma Clive

Five Sigma says Clive coordinates specialised agents across triage, coverage and liability checks, reserves, vendors, payments, compliance, communications, and file review. It can run inside Five Sigma's claims platform or connect to an existing core system. Buyers need an explicit action map: what Clive may change, when an adjuster or finance reviewer must approve it, and how results are reconciled. [S1][S3]

Best for: P&C insurers, MGAs, TPAs, and self-insured claims organisations with a defined claims process, clean ownership for claims, compliance, finance, and technology, and the capacity to test a narrow workflow before enabling production writes.

Not for: A team seeking a generic document chat tool, a buyer without an accountable adjuster and finance control model, an organisation unable to integrate and reconcile its system of record, or a workflow where payment, settlement, or customer-contact authority is not explicitly defined.

Triage and assign a new claim

• Trigger: A new claim enters the configured workflow.
• Inputs: Claim details plus configured complexity, urgency, workload, and adjuster-specialisation rules. [S3]
• Output: A categorisation and routing or assignment action. [S3]
• Human checkpoint: The claims team validates routing rules, monitors exceptions, and owns claims that are outside the approved route.
• Success measure: Correct-routing rate, reassignment rate, time to assignment, and exception-queue age.

Review a claim file for quality and exceptions

• Trigger: A QA review cadence, a closed-file review, or a claim that deviates from expected patterns.
• Inputs: The claim file and its available structured or unstructured information. [S1]
• Output: A question-and-answer file review, a flag, or context for follow-up. [S1]
• Human checkpoint: A QA manager or adjuster assesses the finding and records the disposition.
• Success measure: Material issue detection, false-positive rate, review turnaround, and completed-correction rate.

Apply configured reserve, vendor, and payment workflows

• Trigger: A claim reaches a configured reserve, vendor, or payment step.
• Inputs: Claim data, historical data where configured, pre-set rules and limits, and approved vendor/payment information. [S3]
• Output: A reserve calculation or recommendation, vendor-engagement workflow, or payment authorisation/process under configured limits. [S3]
• Human checkpoint: The buyer's claims and finance control owners approve the rule set, thresholds, segregation of duties, exceptions, and reconciliation; a named owner reviews out-of-policy actions.
• Success measure: Reserve variance, payment exception/error rate, vendor-cycle time, reconciliation breaks, and human override rate.

1. The buyer defines one claim type, the policy and business rules, authority limits, action permissions, exception conditions, and accountable claims, compliance, finance, and technology owners.
2. Clive reads configured claims-system data through the buyer's agreed interface. Five Sigma describes APIs, webhooks, and built-in integrations, but public material does not prove the buyer's exact mapping or permission scope. [S1]
3. For approved steps, it can provide guidance or run configured automation, including triage, validation, reserve, vendor, payment, communications, compliance, and review workflows. [S1][S3]
4. Claims outside the agreed confidence, scope, authority, or rule threshold go to a named human queue. Adjusters and QA owners review material actions, exceptions, and customer-impacting decisions.
5. The buyer reconciles changes to the system of record, exports audit evidence, monitors segment-level results, and can hold or roll back the workflow.

The central trade-off is scope versus control. Adding Clive to an existing claims system can avoid replacing the core platform, but it does not remove integration, authority, data-quality, accounting, or regulatory responsibilities. [S1][S2]

Verified facts

• Five Sigma describes Clive as a suite of agents for claims automation that can operate inside Five Sigma's platform or layer over an existing claims system. [S1]
• Five Sigma lists automation across triage, coverage and liability validation, reserve calculation, vendor and payment workflows, compliance, communications, and file monitoring/review. [S1][S3]
• Five Sigma states that its automation page supports categorisation and assignment, reserve calculations or recommendations, vendor engagement, payment authorisation under pre-set rules and limits, communication capture, and status updates. [S3]
• Public pricing is not listed; the vendor describes tailored, usage-scaled pricing based on book of business, volume, and selected capability. [S2]

Vendor claims

• Five Sigma says its agents are autonomous and self-learning, and that Clive brings full context and explainability when decisions are handed to adjusters. The buyer should test the exact model behaviour, explanation quality, authority, and exception route in its own claim types. [S1]
• Five Sigma says Clive typically goes live in weeks when added to an existing claims system. Validate implementation work, dependencies, acceptance criteria, and support obligations contractually. [S2]
• Five Sigma states that its security posture includes Google Cloud, encryption, SSO/SAML, 2FA, configurable permissions, monitoring, and intrusion detection. Obtain current scoped assurance evidence rather than relying on public marketing material. [S4]

B2Bagents assessment

Clive is a credible candidate for a claims-adjusting category because the vendor describes operational work with potential downstream effects—not just text generation. That makes a narrow, controlled pilot essential. A strong evaluation measures the entire chain: data arrival, rule application, adjuster review, system write, finance reconciliation, and correction or rollback. A strong model answer alone is not enough to establish a safe claims workflow. [S1][S3]

Material unknowns

• The buyer's exact integration method, data fields, read/write permissions, policy/rule configuration, model behaviour, action thresholds, audit-log export, and rollback design.
• Pricing unit, implementation and support fees, minimum commitment, renewal terms, service levels, termination, and data-export rights.
• Buyer-specific evidence for accuracy, routing, reserves, fraud, compliance, payments, settlement outcomes, and any operational return on investment.
• Current assurance-report scope, data residency, retention/deletion, subprocessors, model providers, support access, incident commitments, and legal data-processing terms.

Good-fit conditions: The buyer has stable claims data and policies, a contained initial claim type, a system-of-record owner, claims and QA reviewers, finance controls for any money movement, and permission to run a parallel or review-first pilot.

Poor-fit conditions: Rules are undocumented or change without governance, claim files are incomplete or inconsistent, the buyer cannot control integration permissions, approval thresholds are ambiguous, or there is no reliable path to hold and correct downstream actions.

Predictable failure modes and controls:

• Incorrect intake classification can direct a claim to the wrong queue. Use a representative pre-production sample, monitor routing by segment, and send uncertain claims to human review. [S3]
• A recommendation may be mistaken for an authorised action. Document whether every workflow only suggests, writes, initiates, approves, or processes—and assign the approver for each state transition. [S1][S3]
• A configured payment limit can still conflict with finance policy or a duplicate record. Apply segregation of duties, payment reconciliation, duplicate controls, exceptions, and tested reversal paths. [S3]
• A vendor security statement does not establish contractual coverage for the buyer's data. Complete security, privacy, model-use, and incident diligence before production data transfer. [S4]

Start with one claim type and one observable job, such as triage or closed-file review. Name a claims executive as sponsor, an adjuster or QA lead as workflow owner, a finance owner for money-moving controls, a compliance owner, and an integration owner. Freeze a baseline for volume, queue age, assignment accuracy, exception rate, adjuster minutes, reserve variance, payment exceptions, reopened claims, complaints, and compliance findings.

Five Sigma describes Clive as an API/webhook/integration-based layer for an existing claims system or part of its own platform. [S1][S2] Before granting a production write, review the full field mapping, permissions, identity model, error queue, duplicated or late event handling, communications policy, vendor onboarding, payment authority, audit record, export, pause control, and correction path.

Five Sigma publicly states that its platform uses Google Cloud, encryption in transit and at rest, SSO/SAML, two-factor authentication, configurable permissions, monitoring, and intrusion detection. [S4] The Clive page additionally lists SOC 2 Type II, RBAC, OAuth/API keys, annual pen-testing, AES-256 at rest, and a statement that its Vertex AI/Gemini setup does not train on customer data. Those are vendor statements; obtain the current report, scope, exceptions, architecture, and contract terms. [S1]

Request the DPA, subprocessor and model-provider list, retention and deletion schedule, residency, support-access controls, encryption/key-management detail, SSO/RBAC configuration, audit-log and export capability, vulnerability-management and incident commitments, business-continuity terms, and customer responsibilities. Govern configuration changes like a production claims and finance change: review, approve, test, log, and retain a reversible release path.

Five Sigma does not publish a price. It says pricing is tailored to the book of business, claim volume, and required capabilities, and that the products scale with usage. [S2] Ask whether charges are per claim, policy, action, user, environment, module, implementation phase, integration, support tier, or managed service; also request limits, overages, minimums, renewal treatment, pilot conversion, availability terms, and exit assistance.

Price the pilot as an operational change, not a model subscription. Include claims-team review time, integration, security diligence, policy configuration, testing, exception handling, finance reconciliation, training, and rollback capacity.

Run a review-first pilot for one claim type. Include routine claims plus incomplete documents, conflicting data, changed policy rules, high-value claims, suspected fraud, reopens, disputed liability, vendor escalation, payment exception, and customer-contact edge cases.

Measure data completeness, correct routing, time to assignment, adjuster override rate, finding precision/recall for file review, reserve variance, payment and vendor exceptions, reconciliation breaks, cycle time, reopen rate, complaint rate, compliance exceptions, and audit-log completeness. Segment results by line, claim value, complexity, channel, jurisdiction, adjuster queue, and exception reason.

Set stop conditions before activation: hold the workflow if a material unauthorised action occurs, a payment or accounting reconciliation fails, a high-severity claim bypasses the required reviewer, a system-write cannot be traced or reversed, the exception queue breaches its threshold, required security evidence is unavailable, or the buyer cannot reproduce why an action occurred.

Compare claims products by the specific job and control model: AI layer versus replacement CMS, read-only guidance versus system writes, line and jurisdiction support, input quality, configurable authority, claims and finance approvals, integrations, audit evidence, exception routing, payment controls, implementation services, data terms, and pricing unit. A general document assistant is not a comparable claims-adjusting system.

1. Which tasks can Clive actually execute in our first claim type, and which only produce a recommendation? Obtain a step-by-step authority matrix that includes policy/rule source, output, system write, approver, exception queue, and reversal.
2. How does the system handle a contradictory or incomplete claim? Test it with real representative edge cases and inspect the adjuster handoff, missing-data request, audit record, and no-action behaviour. [S1][S3]
3. What happens across our claims, vendor, payment, and finance systems? Review field mappings, identity and write permissions, limits, duplicate handling, reconciliation, downtime, corrections, exports, and deletion. [S1][S3]
4. How will we prove that the workflow helps without creating new leakage or compliance risk? Agree on baseline, segmented measures, human sampling, override analysis, materiality thresholds, and stop conditions before the pilot.
5. What security and contractual evidence covers our production claims data? Request the current SOC 2 evidence, DPA, subprocessor/model-provider list, retention, residency, access, incident, support, and exit terms. [S1][S4]