AI Applications: Sirion Is Rewiring Contract Management With Agentic AI
Contracts take too long, involve too many handoffs and drain attention from higher-value work. Sirion's agentic CLM platform attacks that reality head-on with expert AI agents covering drafting, negotiation, search and post-signature governance.
Enterprises like Vodafone, IBM and Morgan Stanley already use Sirion to manage more than seven million contracts worth nearly US$800bn across 100 languages. For managers, the draw is simple: faster cycle times, fewer errors and clearer accountability.
Why this matters for management
- Shorter time to revenue and supplier activation through faster authoring and redlining.
- Lower legal and ops workload as AI handles search, extraction and issue detection.
- Stronger compliance with playbook alignment and obligation tracking baked in.
- Better decisions from searchable contract intelligence across business units.
Market proof and scale
Sirion is recognised by Gartner, Forrester and IDC for leadership in CLM. It also topped the Spend Matters Fall 2025 SolutionMap for overall CLM, scoring high in authoring, negotiation, search and obligation management.
Scale is not theoretical: millions of contracts, hundreds of billions in value, and usage across global teams and languages.
What's new: agentic CLM with AskSirion
Sirion's next-generation platform introduces AskSirion, a 360-degree conversational contracting experience. Users describe an outcome, and the system coordinates the right expert agents to produce it-whether that's a draft from an approved template or a risk analysis on a third-party paper.
Ajay Agrawal, Founder and CEO, frames it plainly: teams have been stuck between rigid menus and generic GenAI wrappers. Sirion's approach focuses on practitioner-grade, explainable AI that legal and business leaders can trust.
Out-of-the-box expert agents
- Search Agent - Finds and retrieves contract intelligence fast.
- Draft Agent - Builds drafts from approved templates and clauses.
- Issue Detection Agent - Flags deviations from your playbook.
- Redline Agent - Applies redlines with clear, clause-level rationale.
- Extraction Agent - Converts documents into structured data for analytics.
- Playbook Agent - Turns internal knowledge into standardised playbooks.
Results reported by early adopters
- End-to-end cycle times down by nearly 50%.
- Contract review and redlining completed in minutes rather than days.
- Up to 90% acceleration in specific use cases.
Aravind Aluri, Chief Product Officer, highlights that these agents draft, negotiate, assess risk and manage obligations with the precision of seasoned professionals-while keeping workflows explainable and auditable.
Under the hood: agentOS
Everything runs on agentOS, Sirion's AI-native operating system. It provides a secure, scalable framework for orchestrating purpose-built agents across the lifecycle.
A multi-model setup blends different language models to improve accuracy. Teams can also build custom agents inside agentOS to address their specific templates, playbooks and approval flows-without long development cycles.
Where managers should put this to work first
- Self-serve NDAs and MSAs - Push routine contracts to business users with guardrails.
- Third-party paper review - Use Issue Detection and Redline Agents to enforce standards.
- Obligation management - Tie extracted obligations to owners, dates and alerts.
- M&A and vendor consolidation - Run bulk search/extraction to surface risk and terms.
Implementation playbook (90 days)
- Days 0-30 - Pick two contract types; import templates and playbooks; connect DMS/CRM/ERP; define approval paths.
- Days 31-60 - Pilot with legal + one business unit; enable AskSirion for search and draft; track turnaround times.
- Days 61-90 - Expand to third-party paper; switch on obligation tracking; roll out dashboards for SLAs and deviations.
Metrics to track
- Cycle time by contract type and stage.
- Percent of contracts auto-drafted and auto-redlined.
- Deviation rate from playbook and time-to-resolution.
- Obligation completion rate and overdue items.
- Business satisfaction (legal, sales, procurement) via quarterly surveys.
Risk, governance and trust
Sirion emphasises explainability: every redline, deviation and recommendation is traceable to a rule, clause or precedent. That matters in audits and escalations.
Playbooks and permissions control who can draft, approve and change terms. Logs keep a clean trail from intake to signature to renewal.
Build vs. buy: where agentOS fits
If your team needs custom playbooks, niche clauses or regional compliance, agentOS lets you create specialised agents without a heavy engineering lift. The multi-model approach helps maintain accuracy across languages and contract types.
Executive checklist
- Pick 2-3 high-volume contract types for quick wins.
- Operationalise playbooks before wide rollout.
- Integrate with CRM/CPQ and ERP for data consistency.
- Define approval limits and exception paths up front.
- Publish dashboards and hold monthly reviews on cycle time and deviations.
Upskill your team
If you're building an AI roadmap for legal, finance or procurement, consider targeted training for managers and operators. Browse role-based programs here: AI courses by job.
Sirion's pitch is clear: expert agents that cut friction, reduce complexity and keep decisions explainable. For managers measured on time-to-contract, compliance and cost, that's a practical way to move faster without losing control.
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