Recurring operations
Schedule repeatable jobs that gather information, update systems and report exceptions without keeping a laptop open.
Independent tool overview
Unify at a glance
Unify is an AI-worker platform for delegating cross-app business tasks to persistent assistants that can communicate, run tools, remember context and work on schedules.
Visit the official Unify site ↗
- Current product
- Persistent AI assistants, called droids
- Primary use
- Cross-app task execution and recurring workflows
- Interfaces
- Chat, email, Slack, Teams, SMS, phone and meetings
- Pricing model
- Shared workspace credits; no per-seat fee
- Company
- Unify AI Ltd., United Kingdom
- Last reviewed
- August 30, 2026
Overview
What Unify is
Unify has evolved substantially from the LLM-routing platform described in this directory's original 2024 listing. Its current product centers on persistent AI assistants, called droids, that work through Slack, Teams, email, SMS, phone and meetings while using connected business applications to complete tasks. The company positions the product as an execution layer around frontier models from providers including Anthropic, OpenAI and Google.
The main appeal is continuity: a team can give a droid a role, connect authorized accounts, teach it a process and schedule recurring work. This is a more ambitious and higher-risk use case than a chatbot, so buyers should test approval controls, permissions, auditability, error recovery and data residency against their own requirements before allowing autonomous actions in production.
Use cases
Who Unify is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Cross-app handoffs
Move work among email, CRM, project management, documents and internal tools under a shared process.
Customer-facing communications
Handle phone, SMS, email or meeting workflows where an assistant must communicate and then take action.
Engineering operations
Triage issues, investigate supporting context and open pull requests or tickets with human approval.
Teams avoiding per-seat automation fees
Share a workspace credit pool across a group rather than buying a separate subscription for every user.
Capabilities
Core Unify features
Persistent AI workers
Creates long-lived assistants with a role, memory and reusable knowledge across separate runs.
Multi-channel communication
Droids can operate through in-app chat, email, Slack, Teams, SMS, WhatsApp and phone-oriented workflows.
Voice and meetings
The product advertises live calls, phone numbers and participation in Zoom, Meet and Teams calls.
Connected applications
Uses managed integrations plus API and browser-based routes to reach a broad catalog of business software.
Scheduled and triggered work
Runs tasks on a recurring schedule or in response to events such as incoming email or a webhook.
Persistent memory
Carries structured context about people, decisions and prior work across runs and channels.
Approval gates
Can pause sensitive side effects, such as sending mail or pushing code, for human approval.
Credential isolation
Unify says credentials are stored in a vault and injected during tool execution rather than exposed to the model.
API access
Provides a REST API for sending messages to an assistant and polling asynchronous results.
Process
How the Unify workflow works
Step 1
Choose one bounded job
Start with a measurable workflow that has clear inputs, outputs, owners and failure conditions.
Step 2
Create and brief the droid
Define its role, expected deliverable, escalation rules and the decisions it must leave to people.
Step 3
Connect minimum access
Authorize only the accounts, apps and scopes needed for the job rather than granting broad workspace access.
Step 4
Teach and test the process
Walk through representative cases, including missing data, conflicting instructions and unavailable systems.
Step 5
Gate side effects
Require approval for outbound messages, code changes, payments, record deletion and other consequential actions.
Step 6
Measure production runs
Track completion accuracy, interventions, cost per completed task and recovery from partial failures before expanding scope.
Cost
Unify pricing and free plan
Unify uses shared workspace credits rather than per-seat pricing. The public configurator showed a Team example at $75 per month for 30,000 credits, with free starter credits and custom Enterprise terms. Credit consumption varies materially by task complexity.
Starter
$0 to start
Starter credits are available on signup without a card and expire after the introductory period.
- Intended for initial evaluation
- Available credits and expiration should be confirmed at signup
Team
From $75/month shown
Shared workspace credits with every standard feature and no per-seat charge.
- Pricing configurator showed 30,000 credits at $75 per month
- Credits reset each billing cycle
- Monthly and annual options advertised
Enterprise
Custom
Contracted plan for higher-volume or regulated deployments.
- Custom terms, security review and SLA
- Dedicated tenancy and regional options available on request
- Dedicated onboarding and support
Pricing checked . The previously reviewed pricing source is no longer available.
Assessment
Unify strengths and limitations
Where it stands out
- Combines communication channels, integrations, memory and scheduled execution in one product
- Workspace credits avoid a separate fee for every teammate
- Supports workflows that continue beyond a single chat session
- Approval gates create a practical human-in-the-loop control point
- Broad integration strategy includes managed connectors, direct APIs and browser use
- Persistent memory can reduce repeated briefing for recurring work
- Public documentation covers security architecture, sub-processors and API messaging
- Free starter credits make a bounded proof of concept possible
What to consider
- The current droid product is materially different from Unify's earlier LLM-routing positioning, so older reviews and documentation may describe another product era
- Credit use varies by task complexity, making cost forecasting dependent on real workload tests
- Autonomous cross-app actions can create operational, security and compliance risk if permissions are too broad
- Human approval does not replace testing for incorrect reasoning, partial completion or misleading status reports
- Browser-driven workflows are inherently sensitive to interface changes and session state
- The company says SOC 2 Type II and ISO 27001 are in progress rather than complete
- Public data-location statements need written clarification: the security page describes EU hosting by default, while the sub-processor changelog records a July 2026 consolidation to Google Cloud us-central1
- Connected apps can introduce their own retention, permission and sub-processor considerations
- Tasks involving payments, legal commitments, health, employment or account deletion require stricter controls than ordinary drafting
- The advertised integration count includes different connection methods and should not be read as identical feature depth across every app
- Teams need their own monitoring, rollback and incident process for consequential automations
- Public pricing can change as credit volume is adjusted in the configurator
Compare
Unify alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Business Operations
Lindy
A close alternative for building AI employees that handle communication and multi-step business work.
Explore Lindy →Business Operations
Gumloop
Better for teams that prefer a visual, no-code canvas for explicit AI automation flows.
Explore Gumloop →Agents
Zapier Agents
Builds agents on top of Zapier's established app-automation ecosystem.
Explore Zapier Agents →Agents
Manus
A general autonomous-agent option for delegating research and computer-based tasks.
Explore Manus →Questions
Unify FAQs
What does Unify AI do now?
Unify now offers persistent AI assistants, called droids, that communicate through team channels, use connected applications, remember prior work and run scheduled or triggered tasks.
Is Unify still an LLM router?
Its original 2024 positioning emphasized routing prompts across models and providers. The current official site focuses on AI workers and cross-app execution, although routing among frontier models remains part of the underlying platform.
How much does Unify cost?
Unify offers free starter credits and workspace-based paid credits with no per-seat fee. On August 30, 2026, the public configurator showed a Team example of 30,000 credits for $75 per month; Enterprise pricing is custom.
What can a Unify droid connect to?
Unify advertises managed connections across common business apps, plus direct API calls and browser use for systems without a supported connector. Depth and permissions vary, so validate each required integration.
Can it run without someone watching?
It can run scheduled and event-triggered tasks, but consequential workflows should use approvals, exception reporting and independent checks before being trusted unattended.
Does Unify train on customer data?
Unify states that customer conversations, files and integration data are not used to train shared models and that model providers operate under no-training terms for its traffic. Confirm contractual terms for your deployment.
Is Unify SOC 2 certified?
The public security page says a SOC 2 Type I attestation is in place and a Type II audit is in progress. It also lists ISO 27001 as in progress.
Where is Unify data hosted?
Unify's public materials are currently inconsistent on this point: one page says EU by default, while its sub-processor update says the hosted data plane consolidated to Google Cloud us-central1 in July 2026. Obtain the intended region in writing before purchase.
Bottom line
Our Unify verdict
Unify is most compelling for teams that want an AI worker to carry a job across communication channels and business systems, not merely generate an answer. Its combination of memory, schedules, integrations and approval gates is useful, but the product should earn autonomy through a narrow proof of concept with measured accuracy, cost and failure recovery.
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