Jeeva AI
Jeeva AI deploys autonomous digital workers that perceive, reason, act, and remember across support, IT, revenue, and finance.
The published per-task economics are what make Jeeva worth a demo — $0.06 for a resolved support ticket and $0.12 for a processed invoice are numbers most vendors keep off the slide. Six workers in production, plus SSO, SOC 2, and private-cloud options, means the enterprise checklist is largely covered. Pass if your needs stop at drip sequencing or a visible node diagram.
Verified 5d ago · liveness 75/100 · cite: rightaichoice.com/tools/jeeva-ai
- Mid-market and enterprise support teams automating tier-1 and tier-2 ticket triage and resolution
- IT and ops teams running access provisioning, incident response, and onboarding playbooks
- Revenue and GTM teams acting on pipeline signals with enrichment, routing, and follow-ups
- Finance teams matching invoices to POs and routing exceptions for approval
- Teams that only need a straightforward email sequencing tool — a cheaper sequencer will do
- Buyers who want a low-code workflow builder built from visible node diagrams
- Companies requiring deep code-level customization of the underlying agent framework
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Skip Jeeva AI if your core pain is cheap outbound volume rather than multi-step processes that need memory, judgment, and an audit trail — a plain sequencer or a node-diagram builder handles simple triggers for far less.
The cheaper Growth tier at $95/mo billed annually includes only 3,000 emails/mo and 375 cell phone credits/mo — less volume than the free tier — so scaling outreach means a jump to the $239/mo billed annually Scale plan, not a small
Self-serve runs $0/mo Free, $95/mo Growth, and $239/mo Scale, all quoted at billed-annually rates that carry a stated 20% saving, with Enterprise custom for 10+ seats and compliance controls. That places Jeeva above simple sequencers such as Instantly and in the same bracket as mid-market automation platforms, while undercutting enterprise agent platforms sold on custom contracts. It fits a funded mid-market ops team; a two-person startup running only outbound email is overpaying at $95/mo.
In short
Jeeva AI — Jeeva AI deploys autonomous digital workers that perceive, reason, act, and remember across support, IT, revenue, and finance. Best for Mid-market and enterprise support teams automating tier-1 and tier-2 ticket triage and resolution, IT and ops teams running access provisioning, incident response, and onboarding playbooks, Revenue and GTM teams acting on pipeline signals with enrichment, routing, and follow-ups. Free to start; paid plans from $95/mo.
What's new in Jeeva AI
Checked 5 days agoAcross the latest 4 updates: 4 news mentions.
The Digital Workforce Graph: The Missing Enterprise Architecture for Autonomous Work
Jeeva publishes an architectural framework for modeling the relationships between autonomous workers, the systems they touch, and the policies that govern them.
The Five-Layer Worker Stack: The Architecture Behind Autonomous Digital Workers
Jeeva details the five-layer architecture its workers run on — orchestration, reasoning, execution, memory, and learning — the same stack referenced by its homepage runtime.
Why Prompt Engineering Is Dead: The Rise of AI Worker Design
Jeeva argues the industry is shifting from prompt engineering to designing autonomous AI workers that plan and execute operations on their own.
How Audit-Grade Workflow Logging Works for Autonomous Workers
Jeeva explains how its audit-grade workflow logging makes autonomous worker execution transparent, secure, and accountable inside enterprise workflows.
What people actually say about Jeeva AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
14 mentions across 3 sources (YouTube, Product Hunt, Lemmy) · researched Aug 11, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Natural language deployment simplifies creating workers without coding.
- +Five-layer runtime handles context, memory, and multi-step reasoning.
- +Integrates with major CRMs like Salesforce, HubSpot, and Pipedrive.
- +Audit-grade logging supports enterprise compliance and transparency.
- +Strong Product Hunt rating (4.69) signals early user satisfaction.
- −Community feedback is scarce outside YouTube and Product Hunt.
- −No independent reviews on reliability or long-term performance.
- −Pricing details on paid tiers are vague (e.g., feature limits).
- −The 'replace your sales team' angle overpromises and may mislead.
- −Learning curve for complex workflows may be steeper than advertised.
- • Custom pricing for on-prem deployment may exceed standard tiers
- • Usage limits on free tier may push early upgrades
Viability Score
How well maintained and how widely used is Jeeva AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Natural language worker deployment — describe the worker, deploy in seconds
- Five-layer worker stack: perception, cognition, action, memory, governance
- Support Resolution Worker triaging and resolving tier-1 and tier-2 tickets (72% resolve, $0.06/task)
- IT Operations Worker handling access provisioning, incidents, onboarding (under 8 min mean resolution)
- Revenue Worker acting on opportunity stage changes with enrichment, routing, and follow-ups
- GTM Engineer Worker enriching inbound leads and running A/B routing (91% routed)
- Security Ops Worker investigating anomalies and running first-response playbooks (58% auto-clear)
- Finance Worker processing invoices, matching POs, posting to accounting (81% auto-approve)
- HR worker pulling applications from ATS, scoring against a rubric, scheduling interviews
- 400+ API connectors plus browser automation for real system changes
- Session memory plus durable learned knowledge carried across worker runs
- Human approvals with policy-threshold escalation
- Audit-grade workflow logging for autonomous execution
- Chrome extension for prospect search, email finding, and verification
- Multichannel outreach across email, LinkedIn, and AI follow-ups
About Jeeva AI
Jeeva AI is an agentic platform where you describe a digital worker in plain language and it goes to work — no code, no node diagrams. Every worker runs on what the company calls a five-layer worker stack: perception (L1) detects intent from webhooks, tickets, alerts, and schedules; cognition (L2) plans, branches, and self-heals; action (L3) executes through 400+ API connectors plus browser automation; memory (L4) keeps session state plus durable knowledge across runs; governance (L5) wraps human approvals and audit-grade logging around the whole thing. That L4 memory layer is the practical difference between a worker that holds context and a workflow that resets every time. The vendor publishes live production numbers for six workers running today: a Support Resolution Worker at a 72% resolve rate and $0.06 average cost per task across 8.4K tasks in a 24-hour window, an IT Operations Worker at 68% resolution with mean resolution under 8 minutes ($0.54), a Revenue Worker acting on opportunity stage changes at $0.18 with a reported +34% lift, a GTM Engineer Worker at 91% routed, a Security Ops Worker at 58% auto-clear, and a Finance Worker at 81% auto-approve ($0.12). Governance is a platform layer, not an add-on: human approvals with policy-threshold escalation, advanced admin controls, SSO, SOC 2, and private cloud or on-prem deployment. Jeeva reports 36k+ active users, 30% month-over-month growth, and a $9M raise to scale. It's aimed at mid-market and enterprise operations teams replacing brittle workflow automation — support, IT/ops, revenue, finance, and security. If your processes are simple triggers with no judgment calls, a sequencer or node builder is cheaper.
Behind the Verdict
Where Jeeva earns attention is the operating discipline behind the pitch. Most autonomous-agent vendors demo a single flashy worker; Jeeva runs six in production and publishes resolve rates and per-task costs for each. That's a signal you can actually budget against — a support team can model what 8,400 monthly tickets costs at $0.06 before signing anything. The five-layer stack matters in one specific way: L4 memory. Workers keep session history and durable learned knowledge across runs, so context survives between executions. We'd test this hard during a trial — pick a process that breaks today because a step needs account history, and see whether the worker holds that thread run over run. Deployment is deliberately unglamorous: describe the worker in natural language and Jeeva orchestrates the execution. Teams that want to see and edit the graph will miss the node canvas. Anyone whose process requires awkward branching will feel that absence quickly. Pick Jeeva when an operation needs context, branching, and a human approval checkpoint — ticket triage, access provisioning, invoice-to-PO matching, anomaly first response. Skip it when the job is a straight-line sequence; an email sequencer costs less and gets there faster. The nearest comparisons are Zapier or Make if you want visible workflows, and single-purpose point tools if you only need ticket deflection. Jeeva's bet is breadth on one shared runtime, and the pricing page blurs into outreach territory (email and cell credits, a Chrome extension), so expect to scope seats and credits carefully against real worker volume before committing annually.
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Real-world workflow fit
Concrete scenarios for the personas Jeeva AI actually fits — and what changes day-one when you adopt it.
Deploy the Support Resolution Worker against Zendesk on day one. It queries matching open tickets, pulls account history from Salesforce, identifies the root cause (for example an incorrect discount tier), drafts and sends the resolution, and triggers a CSAT survey.
Outcome: Tier-1 and tier-2 tickets close without an agent when they fall inside policy, with escalation on thresholds and audit-grade logging of every autonomous action. Published benchmark: 72% resolve rate at $0.06 average cost per task.
Wire the IT Operations Worker to access provisioning and onboarding playbooks, and connect Slack and Microsoft Teams for incident intake.
Outcome: Provisioning requests and incidents resolve with mean resolution under 8 minutes, with durable learned knowledge carried across runs so repeat incidents short-circuit. Budget at the published $0.54 average cost per task.
Point the Revenue Worker at Salesforce opportunity stage changes so every stage move triggers enrichment, routing, and a follow-up, then add the GTM Engineer Worker for inbound lead enrichment and A/B routing.
Outcome: Every stage change gets acted on rather than queued, with the vendor reporting +34% lift on the Revenue Worker and a 91% routed rate on the GTM Engineer Worker.
Use Cases
- Enrich inbound leads with company and contact data before routing to sales
- Resolve tier-1 and tier-2 support tickets autonomously, escalating only on policy thresholds
- Provision IT access and run onboarding playbooks for new hires
- Match invoice line items against approved POs and route exceptions for approval
- Investigate security alerts by gathering context from logs and identity systems
- Operate on opportunity stage changes with enrichment, routing, and follow-ups
- Score job applicants against a rubric and schedule interview loops
- Run multichannel outreach with A/B tested messages and sequences
Limitations
- Credit-based volumes mean cost scales with usage, and the published allowance differs sharply by plan — the Free tier lists 10,000 emails/mo and 1,250 cell phone credits/mo while Growth lists 3,000 emails/mo and 375 cell phones/mo, so the tier with more capability is not the tier with more volume.
- Multichannel outreach (email, LinkedIn, AI follow-ups), personalization at scale, and A/B testing of messages and sequences are reserved for the Scale tier at $239/mo billed annually.
- Security and compliance controls — advanced admin, SSO, SOC 2, private cloud or on-prem — sit on Enterprise, quoted custom.
- Worker quality is domain-dependent: published resolve rates run from 58% auto-clear on security to 91% routed on GTM, and the IT Operations Worker costs $0.54 per task against $0.06 for support, so per-worker ROI needs modelling rather than a blended assumption.
as of 2026-10-02
Verification history
We have re-verified Jeeva AI 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Jeeva AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A single operator trying Jeeva risk-free to test prospect search, email finding, and verification before committing budget.
What this tier adds
Starting tier at $0/mo billed annually — 10,000 emails/mo and 1,250 cell phone credits/mo on 1 seat, pay per credit, with email finder and verification, basic prospect search, a Chrome extension, and email templates.
Growth
$95/mo
Ideal for
One individual ready to scale outbound outreach and keep lead lists fresh, without a team or multichannel needs yet.
What this tier adds
Adds advanced targeting filters, auto-updating lead lists, call note sync to CRM, multiple inbox management, and time-zone scheduling — but lists 3,000 emails/mo and 375 cell phones/mo, less volume than Free.
Scale
$239/mo
Ideal for
A power user or small team that needs LinkedIn and AI follow-ups alongside email, and wants to A/B test messages before scaling spend.
What this tier adds
Adds multichannel outreach across email, LinkedIn, and AI follow-ups, personalization at scale, A/B testing of messages and sequences, and workflow automation across inbox, CRM, and sequences.
Enterprise
Custom
Ideal for
A regulated or larger company that needs SSO, SOC 2, private cloud or on-prem deployment, and a named manager before rolling workers out broadly.
What this tier adds
Moves to 10+ seats with flexible credits and adds AI handling of inbound leads, site chat, and routing, AI prioritization signals, advanced admin controls, SSO, compliance and SOC 2, private cloud/on-prem, custom dashboards, training and adoption guides, and a dedicated manager.
Where the pricing makes sense
The company stage and team size where Jeeva AI's pricing actually pencils out — and where peers do it cheaper.
Self-serve runs $0/mo Free, $95/mo Growth, and $239/mo Scale, all quoted at billed-annually rates that carry a stated 20% saving, with Enterprise custom for 10+ seats and compliance controls. That places Jeeva above simple sequencers such as Instantly and in the same bracket as mid-market automation platforms, while undercutting enterprise agent platforms sold on custom contracts. It fits a funded mid-market ops team; a two-person startup running only outbound email is overpaying at $95/mo.
Setup time & first value
How long it actually takes to get something useful out of Jeeva AI — broken out by persona, not the marketing-page minute.
Fastest path is the Support Resolution Worker: if you already run Zendesk and Salesforce, a described worker can be pointed at live tickets within a day and start closing tier-1 volume the same week. The IT Operations Worker takes longer because provisioning and onboarding playbooks depend on access to identity and HR systems. Revenue and GTM workers depend on CRM hygiene — expect to spend time
Switching to or from Jeeva AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier or Make: keep the simple trigger-based zaps running and move only the multi-step processes that need memory and branch logic to a Jeeva worker.
- →From a ticket deflection tool: route only the categories the Support Resolution Worker resolves at policy, and leave the rest on your existing deflector during the pilot.
- →From a sales sequencer: leave outbound volume on the sequencer and use the Revenue and GTM workers for enrichment, routing, and follow-ups triggered by stage changes.
- →From manual finance review: start the Finance Worker on invoice-to-PO matching only, and keep approval for exceptions until the 81% auto-approve pattern holds on your vendor mix.
- ↗To a plain sequencer such as Instantly: export contact lists and sequences and rebuild outbound email flows there if you no longer need multi-step agentic processes.
- ↗To a node-diagram automation tool: diagram your worker's decision points by hand and rebuild the triggers and branches visibly.
- ↗To a single-purpose support deflection tool: keep the knowledge base and route tier-1 deflection there, accepting the loss of shared memory with revenue and finance systems.
Integrations
Resources & Guides
Tutorials & Learning
Jeeva AI Full Tutorial: Lead Generation, Enrichment & Multi-Channel Campaign Setup (Step-by-Step)
Jeeva AI
How to Analyze the Latest Earnings Calls Like a Pro | Jeeva AI
Jeeva AI
YouTube returned 6 videos for “Jeeva AI”, and we withheld 4: 4 could not be judged, because “Jeeva AI” is a single word that other videos use for other things. Showing the 2 we can prove are about Jeeva AI.
Official links
Tools that pair well with Jeeva AI
Common stack mates teams adopt alongside Jeeva AI, with the specific reason each pairing earns its keep.
Notable
Notable is a healthcare AI agent platform that automates patient access, revenue cycle, care operations, and contact center workflows.
Toolhouse
Toolhouse runs plain-language task delegation to AI workers — email a brief, get finished work back in your inbox.
Relevance AI
Relevance AI builds enterprise AI agent workforces that run autonomously with built-in evals and governance.
Featured Head-to-Head Comparisons
Jeeva Ai vs Locus Robotics
Choose Jeeva AI if your goal is to automate digital workflows across revenue, IT, support, and finance using natural-language-driven digital workers. Choose Locus Robotics if you need to physically automate warehouse picking and fulfillment with autonomous mobile robots. They solve fundamentally different problems, so your decision hinges on whether your bottleneck is in software processes or physical logistics.
Jeeva Ai vs Truleo
Choose Truleo if you're a law enforcement agency needing to connect siloed data (RMS, jail calls, body cameras) and surface leads faster. Choose Jeeva AI if you're a business team looking to automate sales outreach, support tickets, or IT workflows with autonomous digital workers. They serve entirely different verticals, so your decision hinges on your domain.
Jeeva Ai vs Presto Voice
Choose Jeeva AI if you need a versatile autonomous worker for revenue, IT, or finance automation with transparent freemium pricing and deep CRM integrations. Pick Presto Voice if you operate a multi-location QSR drive-thru and want proven voice AI that boosts order accuracy and upsell revenue—but be prepared for custom pricing and vendor dependency.
Alternatives to Jeeva AI
View all
Notable
Notable is a healthcare AI agent platform that automates patient access, revenue cycle, care operations, and contact center workflows.
Toolhouse
Toolhouse runs plain-language task delegation to AI workers — email a brief, get finished work back in your inbox.
Relevance AI
Relevance AI builds enterprise AI agent workforces that run autonomously with built-in evals and governance.
Frequently Asked Questions
Best-of guides
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