# Agent Dhara — the AI analyst for incentive operations > Agent Dhara is the AI analyst built for incentive operations, now integrated into Aurochs. Ask business questions in plain English, investigate disputes, and trace plan changes — built for pharma and medical-device IC. [View on aurochssolutions.com](https://aurochssolutions.com/agent-dhara/) --- AIAgent Dhara ## The AI analyst built for *incentive operations.* Now integrated into Aurochs, Dhara helps teams ask business questions, investigate disputes, trace plan changes, understand performance, and move from insight to action across your incentive platform. [Book a demo](/request-demo/) [See use cases](#use-cases) Not a chatbot placed on top of incentive data. Dhara is built on the business context, semantic understanding, plan history, payout logic, roster data, territory alignment, transactions, documents, and workflows that compensation teams work with every day. What it does ### From a question to evidence, explanation, *and action.* 01 #### Ask business questions in plain English Incentive platforms sit at the intersection of sales, products, territories, quotas, crediting, finance, disputes, and rosters. Dhara answers the business questions teams actually receive — and suggests the next useful one. 03 #### Guidance when something needs to change Dhara identifies the relevant plan and component, the parameter or rate table, the effective date, the downstream calculations affected, and the checks to run. The analyst stays in control. 05 #### Designed for verification, not blind trust A fast answer is not enough — payouts affect compensation, finance, trust, and disputes. Every answer can be traced to the exact records and documents it relied on. Investigation ### Built for the messy work *behind incentives.* Incentive questions rarely live in one table. To resolve a dispute or explain a payout, an analyst reconstructs a story across transactions, credits, plan rules, rate tables, roster history, alignment, adjustments, and plan documents. Before Dhara 12–20 min to gather records across systems With Dhara < 1 min to a source-backed explanation Plan history #### Trace changes across plan versions Dhara retrieves historical plan documents, compares the relevant language, identifies what changed, and summarizes the timeline. VersionNew-start bonusEffective v23.5%Jan v37.0% ▲Jul Verification #### Every answer shows its work Analysts need to know where an answer came from. Dhara surfaces the exact source documents and sections behind each response. - plan.specialty.v3.pdf — §4.2 Accelerators - credit_ledger — rep 10472, period Q2 - alignment.v2025-05 — territory NE-114 Semantic layer ### AI needs business meaning, *not just data.* Source-system data is cryptic. A column named `NRX_ADJ_AMT` means little to a generic agent. Dhara is supported by a semantic layer that describes what data means, how fields are interpreted, how tables relate, and which business concepts matter for pharma and medical-device IC. `TRX_CNT` Total prescriptions (TRx) attributed to the territory `NRX_ADJ_AMT` New-prescription credit adjustment amount `ALGN_FLG` Whether the account is aligned to this territory this period `PROD_TIER_CD` Formulary product tier used for crediting Skills ### An agent your team can keep *teaching.* Dhara is a skills-based system — teams add or update capabilities as reusable, reviewable skills. It becomes more valuable as more institutional knowledge is captured. #### Dispute investigation Trace records, alignment, and plan version behind a filed payout dispute. #### Rate change guidance Walk an analyst through where and how a payout rate should be updated. #### Plan document comparison Compare plan versions and surface the language that has changed. #### Territory impact analysis Investigate territory performance against comparable peers. #### Rep payout explanation Reconstruct the inputs and credits behind a specific rep's payout. #### Quota relief investigation Structure a defensible recommendation around territory disruption. #### Credit adjustment review Surface manual adjustments and the rationale behind them. #### Report wiring assistance Map a requested report to the right tables and fields. Governance ### Enterprise AI with governance *built in.* Incentive management is a high-trust function. AI here must respect permissions, preserve auditability, and support human review. 01 #### Role-aware access Dhara respects the same permissions and visibility rules already enforced across Aurochs. 02 #### Source-backed answers Every answer can be traced to the records and documents it relied on. 03 #### Human approval Operational changes go through governed users — Dhara provides guidance, not unchecked action. 04 #### Auditability Actions, prompts, and outputs are versioned and timestamped. 05 #### Workflow compatibility Dhara fits inside your existing approval flows, SLAs, and QA practices. 06 #### Skill governance Skills are reviewable, versioned, and controlled — extensibility stays accountable. Use cases ### What teams can ask *Agent Dhara.* #### Comp Analyst - Why did this rep's payout change from last month? - Was the correct rate applied to this transaction? - Which records should I check before responding to this dispute? - When did this commission rule last change? #### Sales Ops - Which accounts are creating repeated crediting issues? - Which territories are underperforming versus similar territories? - Are certain products growing without corresponding incentive impact? - Where are alignment changes affecting attainment? #### Finance - Which plans are driving the highest payout variance? - Which products have the highest incentive cost relative to revenue? - What changed in accrual estimates this period? - Which regions show unusual dispute patterns? #### Leadership - Where are incentives helping performance? - Which regions may need quota relief? - Which plans create the most operational friction? - What are the biggest drivers of payout change this quarter? ### See what AI can do when it *understands incentives.* Agent Dhara brings business-aware AI into the daily work of incentive management — answering questions, tracing changes, investigating disputes, and guiding analysts. [Book a Demo](/request-demo/) [Talk to an expert](/contact/)