Conga CLM vs Agiloft: Enterprise CLM Comparison (2026)

Two enterprise CLM heavyweights: Conga is strongest in Salesforce environments, Agiloft leads with no-code customization. Here's how they compare for enterprise teams.

Choosing between Conga and Agiloft usually comes down to one question: how central is Salesforce to your organization? Both are serious enterprise CLM platforms with deep features, strong reputations, and price tags to match. But they were built around different philosophies.

Conga was born in the Salesforce ecosystem and acquired its way into a full CLM suite. If your team lives in Salesforce, Conga feels like a natural extension. Agiloft is one of the original CLM vendors, founded in 1991. It is built around a no-code customization engine that lets you tailor virtually every aspect of the platform.

This guide compares both across pricing, features, implementation, and real-world fit. It will also help you recognize when neither is the right answer for your team.

Quick Comparison

(Neither vendor publishes pricing or implementation timelines. The median figures are Vendr's purchasing data, retrieved August 2026; a median spans deals of every size and excludes implementation, so confirm both in your own quote.)

Bottom line: Choose Conga if you're deeply invested in Salesforce. Choose Agiloft if you need maximum customization and flexibility. If you would rather have agentic AI do the contract work than configure workflow software, Bind publishes its pricing and takes neither team down a configuration project.

Company Backgrounds

Conga CLM

Conga's story is one of strategic acquisition. Based in Denver, the company started as a Salesforce document generation tool. It acquired Novatus for CLM capabilities in 2018, then merged with Apttus in 2020. That deal expanded its reach into CPQ and revenue lifecycle management. Conga states that it has been the most downloaded paid CLM app on the Salesforce AppExchange for over a decade - a vendor-published claim we have not independently verified.

Conga positions itself as an end-to-end revenue lifecycle platform, with CLM as a key component. If Salesforce is the center of gravity for your sales, legal, and operations, Conga is designed to fit seamlessly.

Agiloft

Agiloft takes a very different path. Founded in 1991, it is one of the original CLM vendors. Based in San Francisco, it has built its reputation around no-code customization. Organizations can tailor workflows, fields, and processes without writing a single line of code. Agiloft was placed as a Leader in the 2025 Gartner Magic Quadrant for Contract Life Cycle Management (published November 2025), and its own website advertises 99% implementation satisfaction - a vendor-published figure we have not independently verified.

Agiloft positions itself as the most customizable CLM available. It is built for businesses whose workflows do not fit neatly into out-of-the-box solutions.

Pricing Comparison

Neither vendor publishes a rate card, so the only hard evidence available is what buyers have actually paid. Both figures below come from Vendr's purchasing data, retrieved August 2026.

Conga CLM Pricing

Conga does not publish CLM pricing; every deal is a custom quote (see our Conga CLM pricing breakdown for the full picture):

• What buyers pay: per Vendr's purchasing data, a median of $17,179 a year across 236 purchases, with a range of $2,182 to $88,831
• Pricing model: Module-based, per-user components
• Implementation: Quoted separately. Conga publishes no services rates, and we have no verified figure for them
• Salesforce requirement: Usually required for full functionality, and licensed separately by Salesforce

Agiloft Pricing

Agiloft sells tiered editions (Essentials, Advanced, Premium) and publishes no rates for them - the pricing page is a quote request form.

• What buyers pay: per Vendr's purchasing data, a median of $67,132 a year, with a range of $62,629 to $80,344
• Implementation: Agiloft states implementation is included in many packages
• Note: Agiloft states there is no additional charge for end-user viewing

Cost Comparison

The comparison most buyers expect - that the no-code platform is the cheaper one - is not what the purchasing data shows. Agiloft's median is roughly four times Conga's, and its recorded range is both higher and much narrower, which is what you would expect from a vendor that sells one shape of deal to larger organizations. Conga's range starts far lower, but the bottom of that range is unlikely to represent a full CLM deployment.

Neither median is a quote for your deployment: each spans deals of every size, and neither includes implementation, Salesforce licensing, or admin headcount. Use them to sanity-check the number a sales team gives you, not to build a budget.

Feature Comparison

Contract Creation

Verdict: Agiloft offers more customization. Conga integrates better with Salesforce CPQ.

Workflow & Approvals

Verdict: Agiloft's no-code workflow builder offers more flexibility. Conga works seamlessly within Salesforce workflows.

AI Capabilities

(Based on vendor-published materials as of August 2026 - capabilities change quickly; confirm with the vendor.)

Verdict: Both cover the same AI checkboxes on paper. The sourced signal we can point to is the 2025 Gartner Magic Quadrant for CLM (published November 2025), where Agiloft is a Leader and Conga a Challenger. Run the same contracts through both before deciding.

Integrations

(Based on vendor-published materials as of August 2026 - confirm depth of each connector with the vendor.)

Verdict: Conga wins for Salesforce-centric environments. Agiloft is more platform-agnostic.

Salesforce Integration Deep Dive

Conga's Salesforce Advantage

Conga's Salesforce integration is genuinely best-in-class. The platform is built natively on Salesforce, not connected through an API. Contracts are created, managed, and stored within the Salesforce environment itself. Your team never has to leave Salesforce. They use a single login, and the CLM pulls account, opportunity, and product data directly from Salesforce records. The CPQ integration is especially seamless: sales reps move from a configured quote to a contract without manual data entry. Conga has held its position as the most downloaded paid CLM app on the AppExchange for over 10 years.

Agiloft's Salesforce Integration

Agiloft offers a pre-built Salesforce Connector with bidirectional sync. It works well in practice but requires configuration. The architecture is fundamentally different - Agiloft is its own platform that connects to Salesforce rather than living inside it. Users move between the two systems and maintain separate logins. That introduces friction Conga avoids entirely.

For Salesforce-heavy organizations, Conga's native integration is a significant advantage. If your team lives in Salesforce and needs a CLM that feels like part of that environment, Conga is the natural choice (see our Salesforce CLM integration guide for more options). If Salesforce is important but not the center of your universe, Agiloft's connector approach gives you more platform independence.

Implementation & Customization

Conga Implementation

Timeline: Conga publishes no implementation timeline, and neither does any credible independent source. Treat it as a configuration project rather than a switch-on, and make the vendor commit to a schedule in writing during evaluation.

Implementing Conga CLM is a substantial project. A recurring theme in G2 and Capterra reviews is that teams engage professional services or a very experienced Salesforce admin rather than configuring it alone. You need Salesforce expertise on hand, since the platform is deeply tied to the Salesforce environment. Rollout typically happens module by module.

The same review themes cite more complexity than buyers expected, slower performance with large data sets, and a learning curve on the interface. If you are coming from a simpler tool or spreadsheets, the jump is a big one.

Agiloft Implementation

Timeline: Agiloft does not publish an implementation timeline either. Ask for one in writing, and ask what is included in the package price.

Agiloft's implementation story is notably different. Agiloft's own site advertises 99% implementation satisfaction (vendor-published, not independently verified by us). The no-code approach is the primary reason: organizations can tailor workflows, fields, and processes without depending on IT or external developers. Self-service configuration is available. Deployment is flexible, with both cloud and on-premise options.

The practical advantages are meaningful. The platform adapts to unique workflows, so you spend less time forcing your processes into rigid templates. Reliance on professional services is lower (though still available), and Agiloft folds implementation into many of its packages rather than pricing it as a separate project. Neither vendor will tell you how long it takes, so compare the written schedules you get from each.

Ideal Customer Profiles

Choose Conga CLM If:

Conga CLM is the right choice when Salesforce is the operating system your team runs on. If sales, legal, and operations all flow through Salesforce, Conga's native integration eliminates friction. This is especially true if you use Salesforce CPQ and need a seamless quote-to-contract pipeline. You need budget for a custom-quoted license plus separately quoted implementation and Salesforce licensing. Ideally you already have Salesforce admin resources in-house. Conga's decade-long presence on the AppExchange provides confidence in vendor stability.

Choose Agiloft If:

Agiloft is the better fit when your workflows do not fit standard templates. The no-code customization engine is genuinely powerful. Your team can modify workflows, fields, and business rules without writing code or waiting on IT. If you are not exclusively a Salesforce shop (or do not use Salesforce at all), Agiloft's platform-agnostic architecture gives you more flexibility. Agiloft's own reported implementation track record is reassuring if past deployments have gone badly. If you need on-premise deployment for security or compliance, Agiloft publishes on-premise as an option; Conga CLM is delivered on the Salesforce platform, so confirm deployment models with Conga directly. Budget-wise, go in expecting the higher of the two numbers: Vendr's median Agiloft purchase is $67,132 a year against Conga's $17,179, with implementation more often folded into Agiloft's package price.

What Customers Say

Conga CLM Reviews

Conga CLM reviews on G2 and Capterra paint a consistent picture. Users embedded in the Salesforce ecosystem praise the integration quality. "Best Salesforce CLM integration" is a recurring theme. Users also appreciate the comprehensive features and how well it handles complex sales cycles.

The complaints are equally consistent. Implementation is challenging. The interface is not as intuitive as teams expect. Performance issues surface with large contract volumes. The licensing model is frequently called expensive and hard to predict. Conga works best for teams with resources for proper setup and ongoing admin. Teams without those resources tend to struggle.

Agiloft Reviews

Agiloft's reviews skew more positive, though the review count is far smaller, so read them with that in mind. Users highlight customization capabilities. "Most customizable CLM we've used" and "No-code flexibility is game-changing" are common themes. Implementation experiences are generally positive, consistent with the satisfaction figure Agiloft publishes itself.

The downsides are worth noting. The learning curve is steeper than expected, especially for administrators who need to understand the customization framework first. Reviewers also describe the interface as functional rather than modern - worth weighing if UI aesthetics drive adoption on your team - and note more configuration work where a pre-built connector does not already exist.

Alternative to Consider

Bind - Agentic AI Instead of a Configuration Project

If both Conga and Agiloft feel like more machinery than the problem needs, that instinct is worth following. Both are configuration platforms: you buy a framework, then spend a project building your process inside it. That is the right trade when your workflows are genuinely unique and you have the admin capacity to maintain them, and the wrong one when what you actually want is contracts drafted, reviewed and negotiated.

Bind offers a fundamentally different approach. Describe what you need in plain language and the AI generates a complete contract. There is no configuration project in front of it. The platform includes a built-in template library covering NDAs, MSAs, employment agreements, and more, all customizable. The Tabula view gives you a bird's-eye table of all contracts with custom columns for tracking. On the Business plan, the Negotiation view uses AI to resolve redlines based on your playbook. Routine points are handled automatically. True exceptions get escalated.

Bind publishes its pricing: $90 per seat per month (Starter) and $500 per month (Business, including 5 users). Neither Conga nor Agiloft publishes anything you can compare that against without a sales cycle, which is itself part of the difference. In our own onboarding, teams are working in the product the same day. Bind's customer list includes Slush, the global startup and tech event organizer, alongside stock-listed companies like Atria and Outdoor Holding.

Best for: Teams of any size - lean or enterprise - that want agentic AI doing the contract work rather than a workflow platform to configure and administer.

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Making Your Decision

Decision Framework

The choice between Conga and Agiloft often becomes clear once you work through a few key questions.

How important is Salesforce? This is the single most important factor. If your team runs on Salesforce daily, Conga's native integration is a genuine advantage Agiloft cannot fully replicate. If Salesforce is one of several systems you use, Agiloft's platform-agnostic approach gives you more flexibility.

How unique are your workflows? If your contract workflows follow standard patterns, either platform works. If you have highly customized processes - unique approval chains, industry-specific requirements, or non-standard workflows - Agiloft's no-code engine gives you more room to build exactly what you need.

What is your implementation risk tolerance? If past deployments have gone badly, Agiloft's own reported implementation track record is reassuring, and neither vendor will commit to a public timeline, so get one in your contract. If you have a strong Salesforce team that can manage complexity, Conga's implementation is manageable.

What is your budget? Both are custom-quoted, and Vendr's purchasing data puts the median Agiloft deal ($67,132) well above the median Conga deal ($17,179). If a five-figure annual license plus separately quoted implementation is not something you can fund, neither is the right fit; look at a platform with published pricing such as Bind instead.

Do you need on-premise deployment? If compliance requires your contract data to stay on your own servers, Agiloft publishes on-premise as a deployment option. Conga CLM runs on the Salesforce platform, so confirm what deployment models Conga can offer you.

Final Recommendations

For Salesforce-Centric Organizations: Conga CLM is the clear choice if your revenue operation runs through Salesforce. Native integration, CPQ connectivity, and a single-environment experience create a seamless workflow. No competitor matches it within the Salesforce ecosystem.

For Maximum Flexibility and Customization: Agiloft offers among the deepest no-code customization in the category and reports a strong implementation success rate. If your workflows are unique, you use multiple systems beyond Salesforce, or you need on-premise deployment, Agiloft adapts to you. The platform rewards teams that invest in learning its customization framework.

For Teams That Do Not Want a Configuration Project: Both Conga and Agiloft ask you to buy a platform and then build your process inside it, with a custom quote at the front and an unpublished implementation schedule behind it. Bind is built the other way round: agentic AI drafts, reviews and negotiates against your playbook, pricing is published ($90 per seat per month, or $500 per month including five users), there is no implementation fee, and in our own onboarding teams are working the same day. That applies to enterprise legal functions as much as to lean teams.