Workiva AI Agents
by Workiva Inc.
Purpose-built agents that tie out the numbers, benchmark the peer filings and draft the ESG disclosure — inside the platform where the filing is written
Workiva launched three purpose-built AI agents on 29 July 2026 — a Tie-Out Agent, a Benchmarking Agent and a Sustainability Disclosure Agent — alongside Workiva Knowledge, a persistent intelligence layer grounded in a customer's own filings, policies and guidance. They are built for finance, sustainability, risk and compliance teams whose output is audited and where an unsourced AI answer is worthless.
Workiva, the NYSE-listed reporting and compliance platform founded in 2008 in Ames, Iowa, announced three specialised AI agents and a persistent intelligence layer on 29 July 2026. The Tie-Out Agent runs consistency checks across a financial report, flags discrepancies between numbers that should agree, generates an explanation for each variance and leaves a documented trail for review and external examination — the manual grind of the financial close. The Benchmarking Agent reads peer 10-K and 10-Q filings from SEC EDGAR, lets teams assemble custom peer groups, identifies disclosure gaps against those peers and drafts language, with every insight traceable back to the source filing and produced inside the same platform where the filing is being prepared rather than in a separate research tool. The Sustainability Disclosure Agent drafts, checks and improves disclosures against ESRS and ISSB standards and outputs gap assessments and compliance scorecards with specific recommendations. Underneath all three sits Workiva Knowledge, a persistent layer grounded in the organisation's own historical filings, internal policies, institutional guidance and custom instructions, which accumulates across reporting cycles so outputs are company-specific and traceable to source material rather than generic model responses. It is paired with a Model Context Protocol gateway that lets customers bring their preferred AI model while retaining Workiva's existing permissions, governance controls and data lineage. The agents are available to customers on Workiva's advanced solution tiers. Workiva serves more than 6,700 organisations including over 85% of the Fortune 1,000, reported $739M revenue in 2024 and employed 2,828 people; the platform's lineage runs from XBRL-tagged SEC filings through Wdesk and Wdata to the Sustain.Life acquisition in 2024 and the Workiva AI agentic platform first introduced in September 2025.
A Controller, Head of SEC Reporting or Head of Sustainability Reporting at a Fortune 1000 company already running Workiva for its 10-K, SOX or ESRS process, whose close cycle is bounded by manual tie-out and peer research.
Consistency checks, peer benchmarking and ESRS/ISSB disclosure drafting run inside the filing itself with a documented variance trail and source traceability, so the output survives audit instead of needing to be re-verified by hand.
At a Glance
- Category
- Enterprise Platform
- Pricing
- Contact for pricing, Subscription
- Target Market
- CFOs, Controllers, Chief Sustainability Officers, Audit and Compliance Leaders
- Deployment
- Cloud-only
- Founded
- 2008
- Headquarters
- Ames, United States
- Team Size
- 500+
- Customers
- 6,700+ organisations, including more than 85% of the Fortune 1,000
Key Features
- ✓Tie-Out Agent
Runs consistency checks across a financial report, flags every discrepancy, generates a written explanation for each variance and creates a documented trail for internal review and external examination.
- ✓Benchmarking Agent
Analyses peer 10-K and 10-Q filings from SEC EDGAR to build custom peer groups, surface disclosure gaps and draft text, with each insight traceable back to the specific source filing.
- ✓Sustainability Disclosure Agent
Drafts, checks and improves disclosures against ESRS and ISSB standards, and produces gap assessments and compliance scorecards with actionable recommendations rather than generic advice.
- ✓Workiva Knowledge
A persistent intelligence layer grounded in the organisation's past filings, internal policies, institutional guidance and custom instructions that accumulates context across reporting cycles.
- ✓Model Context Protocol gateway
Lets customers choose which AI model backs the agents while retaining Workiva's existing permissions, governance controls and data lineage over sensitive reporting processes.
- ✓Source traceability across every output
Each agent output links back to the filing, policy or dataset it came from, which is the difference between an answer an auditor accepts and one they reject.
- ✓In-platform execution
Agents run inside the same environment where filings are authored and reviewed, so drafted language lands in the document rather than in a separate chat window to be copied over.
Capabilities
Use Cases
- •Compressing the financial close
The Tie-Out Agent performs the cross-report number checks a reporting team does manually each quarter and documents every variance it finds for review.
- •Closing disclosure gaps before filing
The Benchmarking Agent compares a draft 10-K against a custom peer group's filings and surfaces disclosures peers make that the company currently omits.
- •ESRS and ISSB readiness assessment
The Sustainability Disclosure Agent scores existing disclosures against both frameworks and returns a gap assessment with specific recommendations to close each gap.
- •Producing an audit trail for AI-assisted work
Every agent action leaves a documented trail linking output to source, which is what external examiners ask for when AI touched the reporting process.
- •Bringing a preferred model into a governed process
Teams with an approved enterprise model route it through the MCP gateway so it inherits Workiva's permissions and data lineage instead of bypassing them.
Ideal For
Best For
- ✓Automating tie-out consistency checks across a 10-K or 10-Q with a documented explanation for every flagged variance
- ✓Peer disclosure benchmarking against custom groups built from SEC-filed 10-Ks and 10-Qs without leaving the reporting platform
- ✓Drafting and gap-assessing sustainability disclosures against ESRS and ISSB standards
- ✓Regulated reporting workflows where every AI-produced statement must trace back to a source filing or internal policy
- ✓Organisations that want to bring their own model to a governed process via MCP without losing existing permissions and data lineage
Not Ideal For
- ✗Small and mid-sized organisations — third-party procurement data puts median annual spend near $50,000 with a documented range up to roughly $153,000, before implementation, and there is no free trial
- ✗Teams wanting a quick pilot: reviewers describe a steep learning curve and significant upfront investment, and tasks that feel trivial in a spreadsheet take time to learn in Workiva's environment
- ✗Existing Workiva customers on lower tiers, since the agents are gated to advanced solution tiers and may require a contract upgrade rather than a feature toggle
- ✗Buyers outside regulated financial or sustainability reporting — the agents are narrow by design and do not generalise to broad enterprise work
Deployment
Market & Ratings
6,700+ organisations, including more than 85% of the Fortune 1,000
Market Analysis
Pros
- ✓Every agent output is traceable to a source filing, policy or dataset, which is the minimum bar for work that gets audited
- ✓The Tie-Out Agent produces a written explanation per variance plus a documented trail, rather than a pass/fail flag a human still has to justify
- ✓Workiva Knowledge grounds agents in the organisation's own historical filings and guidance, so outputs improve each reporting cycle instead of resetting
- ✓The MCP gateway is a genuine hedge against model lock-in: customers can bring an approved model without leaving Workiva's governance
- ✓Deep incumbency — 6,700+ organisations, 85%+ of the Fortune 1,000, $739M 2024 revenue — means the agents ship into a process customers already run
Cons
- ✗Cost is a real barrier: third-party procurement data shows a median near $50,000/year reaching roughly $153,000, and reviewers say the platform required significant investment and was difficult to implement
- ✗Reviewers describe a steep learning curve, and note tasks that feel simple in a spreadsheet take time to relearn in Workiva's environment
- ✗Users report the platform being buggy, with glitches that matter more than usual because they land against hard reporting deadlines
- ✗No free trial and no published pricing, so evaluation is a procurement exercise rather than a hands-on test
- ✗The agents are gated to advanced solution tiers, so a large part of the installed base cannot use them without a contract upgrade
- ✗Standard renewal uplifts of 10-15% mean the cost trajectory is upward unless negotiated into a multi-year lock
Pricing
Advanced solution tiers
Contact for pricing
- ✓Tie-Out, Benchmarking and Sustainability Disclosure Agents
- ✓Workiva Knowledge persistent intelligence layer
- ✓Model Context Protocol gateway for bring-your-own-model
- ✓Priced per solution module, named user role and document volume
Workiva publishes no list pricing. Third-party procurement data from Vendr puts the median contract near $49,957 per year across roughly 160 analysed purchases, with a range from about $12,596 to $153,530. Licensing is modular and metered on named user count and role (viewer, contributor, administrator), which solutions are in scope (financial reporting, ESG, audit, risk), document and data volume and contract term; XBRL tagging, document setup and implementation services are quoted separately, adding users or modules mid-contract triggers pro-rated fees at list rather than negotiated rates, and standard renewal uplifts run 10-15% unless locked down in a multi-year agreement. The AI agents themselves are gated to advanced solution tiers, so existing customers may need a contract upgrade. There is no free trial.
Security & Compliance
Sources
This page was written from 5 sources, 5 on domains other than workiva.com.
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