Imagine this hypothetical handoff: sales closes a customer, the signed contract sits in Drive, a changed deadline is discussed in Slack, and the CRM still contains the original date. Delivery needs a reliable brief, an approved start date, and the right records updated. Someone must also catch the mistakes before they reach the customer.
Glean, Relevance AI, and Coryntas can each belong in that conversation. The buying decision turns on which part of the handoff you need help with, how much building your team wants to own, and who will keep the workflow running after launch.
Disclosure: Coryntas is one of the businesses compared here, and this article is published through its organization. This is an analysis of official documentation and selected public user reports, checked on October 4, 2026, rather than a hands-on test of all three offerings. The scenarios and budget calculations below are hypothetical.
Which one should you shortlist?
Start with Glean when employees need dependable access to information across company systems, with agents built on that context. Its enterprise search and agent capabilities make it relevant when many teams repeatedly need to find contracts, understand decisions, and act on company knowledge.
Start with Relevance AI when you want a platform for building and extending agents around your workflows. It suits a company with an owner for tools, evaluations, and maintenance, whether that owner works internally or under a service agreement. Relevance AI also offers deployment assistance, so an internal team need not handle every implementation step alone.
Start with Coryntas when you want an outside team to build, deploy, and manage enterprise AI agents for an agreed business scope. The work delivered, the integrations, and your company's remaining responsibilities belong in that scope. This arrangement fits a team that needs the handoff running but does not want to own its implementation and daily technical maintenance.
The three offers overlap: Glean has agents that execute work, and Relevance AI helps customers deploy. The useful distinction is how the proposed handoff gets built and who takes responsibility for it afterward. Even with a managed implementation, your employees approve business rules and provide access to company systems.
| Buying decision | Glean | Relevance AI | Coryntas |
|---|---|---|---|
| First problem to solve | Find company knowledge across connected apps | Build agents and reusable tools | Outsource workflow delivery and ongoing operation |
| Information setup | Indexed sources; employee permissions apply | Builder connects knowledge and retrieval tools | Coryntas maps sources, access, and business rules |
| Work execution | Agents execute actions using enterprise context | Tools retrieve, validate, seek approval, and update CRM | Implemented documents, record updates, and integrations |
| Owner after launch | Source admins, agent builders, or a Glean services partner | Agent/tool builder; vendor deployment/support or partners can assist | Coryntas supports and refines deployed scope with valid usage |
| Work to budget for | Source coverage, authoritative retrieval, agent upkeep | Configuration, complex-run debugging, and consumption | Capacity, business approvals, and separately quoted scope additions |
| Billing basis | Enterprise Flex seats and pooled credits; quote required | Actions and Vendor Credits; Enterprise quote required | Deployment plus monthly shared capacity |
In September 2026 G2 reviews reproduced on AWS Marketplace, one Glean user praised cross-system search but described Slack results outweighing more authoritative documents. Another reported difficulty connecting all their sources. For the handoff, source coverage and finding the signed agreement deserve separate tests.
An April 2026 SoftwareReviews reviewer liked Relevance AI's visual workflow construction but noted configuration effort; another valued multi-agent workflows but found complex failures hard to trace. The first review was incentivized. A comment in a May 2025 Reddit discussion describes getting review aggregation running quickly. Prototype speed and ease of maintenance are separate things to test.
In OptyxStack's September 2026 account, two Coryntas agents are in production: one organizes information and one answers employee questions. This is customer testimony about one deployment. These individual accounts do not establish comparative reliability or maintenance costs; the shared pilot below tests the proposed handoff.
Begin with a completion rule
In this example, a completed handoff gives delivery a brief that cites the signed agreement, flags the disputed date, and identifies an approver. The CRM changes only after that person decides. A record of successful steps prevents a retry from creating another onboarding task. Those are the results a demonstration needs to produce.
That definition separates an impressive answer from an operational result. A summary can be accurate while the CRM remains wrong. A CRM update can succeed while delivery receives an outdated attachment. Neither outcome completes the handoff.
The comparison is useful only when each vendor works with the same materials, permissions, and authority. Preparing a draft, seeking approval, and writing directly to a system are different assignments. A fast demonstration with unrestricted write access does not show how the workflow will perform when a delivery manager must approve the date first.
Sales and delivery may still disagree about a customer promise. That decision needs a named employee and a clear route for escalation. The agent's job is to surface the disagreement with enough evidence for that person to resolve it. A workflow that guesses company policy can finish quickly and still produce the wrong commitment.
Glean: assess company context and the actions built on it
Glean's enterprise search brings information from connected company systems into a search experience with permission-aware access. It addresses the part of the handoff where a delivery manager spends time finding agreements and reconstructing decisions. Its value for that manager depends on the signed contract and relevant discussions being connected, current, and accessible under their permissions.
Glean Agents supports building, orchestrating, and governing agents that execute work. Finding the contract can therefore lead into a workflow that acts on it. For this handoff, the execution requirement includes approval before the delivery date changes. A demonstration that stops at a correct summary covers only part of the assignment.
The company must own the rule that a signed amendment outranks a Slack message; someone also has to maintain its implementation. Those are separate responsibilities. When the CRM adds a required field, the technical maintainer repairs the write step while the business owner decides whether the handoff needs additional information. A connector list alone leaves that division unresolved.
Glean is a stronger candidate when the handoff is one of many places where employees struggle to use company knowledge. A company-wide context investment may serve support, sales, and operations together. For one narrowly defined process, that broader investment needs a business case: the handoff's value alone may not justify capabilities the rest of the company will rarely use.
Glean pricing: seats and variable consumption
Glean's Enterprise Flex pricing combines per-user monthly licenses with a shared FlexCredit pool. Agent runs consume variable credits. The documentation lists approximately 7 credits at the 50th percentile and 114 at the 90th percentile for an agent run; these are consumption reference points, not a fixed price for your handoff.
The public document does not provide the seat price or the dollar conversion needed for a complete budget. A quote is required. A usable quote identifies the licensed user count, credit allocation, additional consumption terms, implementation charges, and contract period. Without those inputs, a seat-price comparison leaves much of the proposed bill unexplained.
The 12-month budget combines quoted annual licensing, the credit commitment, additional workload charges, implementation, and your team's operating time. Long documents, several searches, and extra tool calls belong in the consumption estimate alongside ordinary handoffs. An estimate based only on a short demonstration gives you little basis for budgeting the more demanding work.
Relevance AI: building workflows your team can extend
Relevance AI is a candidate when your team wants to assemble agents around specific work and keep extending them. In this handoff, that means connecting document retrieval, a deadline check, an approval request, and a CRM update. The flexibility becomes useful when the maintainer can inspect those steps, change one, and test the result before putting it back into production.
Its agent offering includes visual building, agents and tools, and an embedded deployment team that helps customers get live and trains their teams. That support matters when a company wants help launching before taking over the workflow. For a company that wants continued external maintenance, the proposal also needs an owner and service scope after the deployment engagement ends.
An operations builder may welcome the ability to adjust routing or add a tool. Keeping that flexibility means giving the person time to investigate failures and test changes. A sales manager who occasionally edits prompts may have neither the time nor the technical remit. The platform budget is more realistic once operations, engineering, or a contracted specialist has accepted that responsibility.
Relevance AI pricing: separate execution from provider costs
The current Relevance AI pricing page presents Enterprise with custom Actions and Vendor Credits and directs buyers to sales. Enterprise pricing requires a quote. Documentation mentioning other plans does not establish a current public subscription price for a new customer.
Its billing documentation defines an Action as one Tool run, including a failed run. Vendor Credits cover model and tool-provider costs. Published top-up rates are $80 per 1,000 Actions and $20 per 10,000 Vendor Credits. The applicable rates and included allowances depend on the agreement, particularly for Enterprise.
Here is a hypothetical calculation using those published top-up rates. Assume 2,000 monthly handoffs, four Tool runs and 30 Vendor Credits per handoff, all included allowances already exhausted, and no remaining purchased balance:
- Actions: 2,000 × 4 = 8,000; eight blocks at $80 = $640.
- Vendor Credits: 2,000 × 30 = 60,000; six blocks at $20 = $120.
- Combined incremental consumption: $760 per month, or $0.38 per handoff.
Those inputs are hypothetical rather than measured product consumption. The amount excludes subscription fees, implementation, maintenance, taxes, and separately paid third-party services. Twelve identical months would mean $9,120 of this incremental consumption, before those exclusions. The calculation shows how the billing units add up; a purchasing budget needs observed runs and the applicable quoted terms in place of these assumptions.
Coryntas: choose implementation scope and capacity separately
Coryntas separates the work of building an agent from the monthly capacity needed to operate it. The deployment proposal establishes the responsibilities, integrations, and deliverables. Monthly capacity covers the agreed runtime consumption across the workspace.
The current Coryntas Pricing page lists Essential Agent at $5,000, Professional Agent at $15,000, and Advanced Agent from $50,000, as one-time deployment fees in USD. Custom deployments require a quote. Monthly Core, Growth, and Scale packages cost $500, $5,000, and $10,000 respectively.
Coryntas estimates monthly capacity from your request volume, recurring tasks, and representative examples before you choose a paid package. The Usage guide illustrates how different workloads consume shared capacity. Your mix of support replies, document processing, and business actions informs the estimate; deployment tier and monthly capacity are selected separately.
For the handoff, the estimate needs ordinary and unusually long contracts, monthly customer starts, expected retries, and the other agents sharing the workspace. A few short agreements consume capacity differently from long contracts followed by updates across several systems. The deployment tier describes the work being built; the workload estimate determines the capacity needed to run it.
The deployment fee covers design, development, integrations, testing, and deployment. While the system operates with valid Coryntas usage, support and improvements within the agreed operational scope continue without a separate recurring development fee. For this handoff, the operating scope needs to cover investigating missed runs, maintaining the agreed integrations, and implementing approved rule changes. Your company retains approval of customer commitments. Major additions to responsibilities, departments, or integrations may require a new quote.
A Professional Agent first-year budget
Assume a new workspace's first eligible Professional deployment, a $15,000 deployment fee, and twelve consecutive monthly usage periods from production activation. The first period includes Growth once. Paid continuation requires the customer's agreement. There are eleven paid periods afterward in these budgets; adding another agent or upgrading does not grant another included first month.
If the workload estimate supports Core for those eleven periods: $15,000 + (11 × $500) = $20,500 for the first year.
If the workload needs Growth for those eleven periods: $15,000 + (11 × $5,000) = $70,000 for the first year.
These are two package choices, not two prices for an identical proven workload. The included Growth period gives the workspace its initial capacity; the subsequent package should match the estimate and operating results. A Professional deployment does not automatically require Growth every month.
Both examples assume unchanged paid package prices, no extra top-ups, and no additional deployment scope. They exclude taxes, customer-paid third-party subscriptions, separately quoted SSO, and other quoted extensions. Unused monthly capacity expires rather than rolling over. For work that cannot wait until renewal, the budget also needs any agreed replenishment costs if the package runs out early.
Compare the year after launch, including your employees' time
A useful annual comparison holds the completion rule and monthly workload constant across all three proposals. Volume, document mix, approval steps, connected systems, and retry cases form the common inputs. Separating fixed charges, consumption charges, and separately quoted work makes it easier to see which proposal stays within budget as the workload changes.
Employee time belongs in that comparison too. Four hours a week spent checking runs and fixing configuration is time unavailable for other operations work. That hypothetical figure will differ with each proposed operating arrangement. The pilot helps establish how much time your employees actually spend reviewing output, handling exceptions, and maintaining the process.
A completed handoff is a better unit of value than an attempted run. Repeated retries of a failing write can consume resources while delivery waits. Completed handoffs, human exceptions, total attempts, and recovery time together show how much effort reaches a usable result. A high run count alone says little about whether the work got done.
Human review can determine the value of approval-heavy work. A brief that gives the manager the disputed dates, relevant clauses, and source links may save time even when the date still needs approval. A long explanation that forces another full contract review leaves more of the original work in place. The useful output gives delivery enough evidence to make its decision efficiently.
The eventual cost of moving the process also belongs in the decision. Approved rules, test cases, a source inventory, and integration specifications give a replacement maintainer a starting point. Exportable configurations and logs can reduce rebuilding; anything that cannot transfer adds work to the transition. An agreement that identifies those boundaries and the cost of assistance gives you a clearer view of the long-term commitment.
Run the same five-case pilot
The pilot uses the same permitted test records and requires the same final brief, approval, CRM state, and audit trail from each proposed implementation. Acceptance criteria set before the demonstration keep a polished answer from substituting for completed work. Person-hours and consumption show what it takes to reach that result. The following five cases test the handoff at points where a normal demonstration can look successful while leaving delivery with a problem.
1. Conflicting contract dates. The signed agreement, Slack discussion, and CRM contain different dates. Under the agreed rule, a disputed commitment needs review. A successful run cites the conflict, routes it to the approver, and applies the decision consistently to the final CRM record and delivery brief. Silently choosing a date fails the test, even if the summary reads well.
2. A restricted document. One document is unavailable to the requesting employee. Its contents must remain unavailable in both the answer and downstream output. Changing the employee's access provides a second case for the same integration. The result reveals whether the proposed workflow applies source permissions through to its outputs; connecting a company system alone does not establish that boundary.
3. A duplicate trigger. The same closed-won event arrives twice, including a repeat while the original run is still in progress. The expected result is one handoff, one onboarding record, and no duplicate customer message. This case tests whether the implementation recognizes repeated events early enough to prevent duplicate work, rather than leaving delivery to clean it up afterward.
4. A partial CRM update. One write succeeds and the next fails. The workflow must report the incomplete state, preserve the successful result, and recover without repeating it. When automatic recovery cannot finish, the exception goes to a named owner with enough information to continue. A generic success message fails the test because delivery would proceed on an incomplete handoff.
5. A changed integration. A field or permission used by the workflow changes. The proposed maintainer diagnoses the break, repairs it, and reruns the relevant tests. The record of that work identifies the owner, recovery effort, and applicable cost. This is where a maintenance arrangement becomes concrete: the business owner can see who restores the handoff and what remains their responsibility.
Glean is the starting point when the handoff belongs to a wider company-information problem. Relevance AI fits a team that wants to keep building and extending agents, with an owner for the tools. Coryntas fits a team buying implementation and ongoing management of agreed work. The pilot decides whether a particular proposal delivers on that fit. A representative contract, an anonymized handoff record, monthly volume, and a named business approver give the first meeting enough substance to scope the work and price it.
AI assistance was used to prepare and edit this article. Prices and product descriptions were checked against official sources on the date above. No three-product hands-on benchmark was performed.
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