Front

Implementation, training & consulting · 43 guides

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About Front

organizational workflow placement

Front is positioned as a central hub for cross functional teams to collaborate on customer interactions, ticketing and context sharing within the Front platform. In practice teams place Front at the center of their email, chat and collaborative inbox workflows, integrating with incident response and daily operations.

Support agents, sales associates and product teams rely on Front to route conversations to subject matter experts, automate triage rules, and surface relevant data from connected systems. The platform enables a unified view of customer conversations, ensuring that the right person engages at the right time, reducing handoffs and enhancing throughput.

The placement within operations emphasizes asynchronous collaboration, rapid context switching and a persistent history of decisions, which is essential for audit trails and continuous improvement.

Front also serves as a central work surface for knowledge sharing, allowing teams to annotate threads, escalate issues and track ownership across cycles, while preserving a complete lineage of actions taken in response to a customer inquiry.

delivery role

Front assumes a delivery oriented role by transforming raw messages into actionable tasks. Each inbound thread can be routed through a set of business rules to determine its destination team, priority level and SLA. Delivery officers or team leads can monitor queues, reassign work, and monitor metrics that reflect time to first response and resolution.

The system supports templates and macros that standardize responses for common scenarios, enabling faster throughput without sacrificing quality. This operational stance ensures that customer requests are not only acknowledged but translated into documented actions with clear accountability.

Front also exposes integrations that feed data from CRM, ticketing and help desk systems, turning conversations into trackable items in downstream workflows.

team interactions

In day to day operations, Front is used by support agents to manage inbox style threads, by account managers to coordinate multi channel outreach, and by product teams to collect customer feedback. Cross functional teams collaborate via internal notes, mentions and assignment features, creating a shared mental model of what needs to be done.

Supervisors leverage dashboards to observe workload balance, monitor backlogs, and identify bottlenecks in escalation paths. Front also supports collaboration with external stakeholders by sharing threads or exporting context to stakeholders who are not native users.

The result is a resilient collaboration model where teams align around customer outcomes rather than channels alone.

governance-scale

Governance in Front centers on access control, data retention and process standardization. Admins define roles and permissions for agents, supervisors and executives, ensuring least privilege access to sensitive information. Scale is achieved through tagging, routing logic and automation policies that route conversations at scale while preserving human oversight.

Data retention policies govern how long conversations and attachments are stored, supporting compliance requirements and minimizing risk. Audit trails capture who did what, when, and why, enabling traceability across complex support and sales lifecycles.

Front integrates with security and compliance tooling to enforce encryption, single sign on and data privacy controls across distributed teams.

integration-patterns

Operationally Front integrates with a constellation of systems including CRM, ticketing and collaboration tools. Webhooks and API based integrations enable bidirectional data exchange so that customer context and status updates propagate automatically.

Event driven flows trigger updates in downstream systems, while inbound data enriches conversations with customer history and product usage signals. This integration pattern supports automation at scale: routing rules can factor in data from the CRM, product analytics and inventory systems to determine the next best action for a given thread.

Front acts as a convergence layer where content from multiple sources converges into a single, actionable thread, simplifying orchestration across teams.

conclusion

Front functions as a versatile operational backbone, enabling coordinated delivery of customer outcomes across support and revenue teams. Its structured routing, collaboration features and extensible integrations support consistent service levels, improved agent productivity and clearer accountability.

Front enables organizations to transform conversations into measurable workflows while preserving the context necessary for continuous improvement.

Front and the tools around it

Tools we commonly connect with Front through its API, webhooks and automation platforms. What is possible depends on your plan and setup.

Front solutions we build

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How we can help with Front

Features

5 guides

Integrations

17 guides

Automation

1 guide

Automation: rules, routing, and collision detection in Front

Front's automation is built around its rules engine — if/then logic triggered by message properties like channel, keyword, tag, or sender, which can assign, tag, move, or snooze a conversation automatically. Layered on top is collision detection, which shows in real time when a teammate is viewing or drafting a reply so two people don't send conflicting responses; it's a core Front behavior, not an add-on. SLA rules track response-time targets and can escalate a conversation automatically when it's at risk of breaching one.

Delivery approach

We start by auditing your current rules setup and mapping the triage and escalation logic you actually need, then build routing rules in Front's rule builder — conditions and actions, no code required. Front doesn't ship its own branching workflow canvas, so any automation that needs to touch outside systems runs through its REST API, webhooks, or its 160-plus App Store integrations, including Slack, Salesforce, HubSpot, Asana, and Jira.

Who it's for

  • Support teams tired of manual triage who want tag- and keyword-based routing instead
  • Operations teams that need SLA escalation rules in place of manual monitoring
  • Teams merging multiple channels — email, SMS, WhatsApp, chat — into one inbox with consistent rules
  • Teams that need Front activity synced into a CRM or ticketing tool through the API or App Store

What Front enables

Rules act on real message signals rather than a guess, and Front's analytics surface which rules are firing, where volume is piling up, and where SLAs are slipping. Snippets and canned responses reduce repetitive typing without turning replies into form letters, since agents can still edit before sending.

Adaptation and maturity

Early rollouts typically start with basic routing rules and a snippet library. As teams mature, we add SLA-based escalation, then extend into API-driven sync with the CRM or ticketing systems the rest of the business already runs on.

How Front shapes delivery

Front's rules run in-app and evaluate sequentially in the order you set, rather than through a visual branching workflow engine, so complex conditional logic sometimes needs several layered rules instead of one flow. True cross-system orchestration means going outside Front through the API or App Store rather than expecting Front itself to run it.

Use cases

  • Auto-assign high-severity tickets to on-call engineers using Front routing rules
  • Route customer queries to the correct channel and queue based on content tags in Front
  • Auto-close resolved items after confirmation from a downstream system
  • Escalate overdue requests and trigger reminder messages to teams via Front
  • Queue balancing across regional support centers to meet local SLAs
  • Auto-synthesize common questions into a knowledge draft surfaced in Front
  • Trigger follow-ups after a specified dwell time in Front’s inbox
  • Implement sunset rules to migrate legacy tickets to new processes
  • Integrate Front with incident management tools to streamline post-incident review
  • Audit trail generation for compliance using Front’s event logs

Front is leveraged throughout these use cases to ensure that automation remains observable and controllable, with ongoing optimization guided by data.

Open the full guide: Automation →

AI capabilities

1 guide

AI: what Front's Copilot and Autopilot actually do

Front's AI layer sits on top of the shared inbox rather than asking you to train anything. Copilot drafts replies grounded in your knowledge base, connected Confluence or Guru docs, and past conversations, which an agent edits for tone before sending. Autopilot is Front's AI agent: it can resolve straightforward, well-defined requests across channels end to end, coordinating with connected systems where needed. AI Topics auto-tags and classifies incoming conversations, and Compose, Translate, and Summarize let an agent draft from a prompt, translate a message, or condense a long thread. Smart QA runs automated scorecards against tickets, and Smart CSAT infers satisfaction from conversation content instead of relying on a survey.

Delivery model

We start by connecting the knowledge sources Copilot and Autopilot actually draw from — your Front knowledge base plus, where available, Confluence or Guru — since draft quality depends directly on what's indexed. We then define which intents Autopilot is allowed to resolve without a human touch versus which stay routed to Copilot-assisted agents, configure AI Topics rules for tagging, and turn on Smart QA scorecards aligned to your existing quality criteria.

Who it's for

  • Support teams that want faster, more consistent first-draft replies without losing editorial control
  • Operations leaders looking to resolve high-volume, repetitive requests through Autopilot instead of adding headcount
  • Quality and compliance teams that want Smart QA scorecards in place of manual ticket sampling
  • Leaders who want CSAT signal from Smart CSAT without adding another survey step to the customer experience

Outcomes with Front

Front stays the system of record for every conversation and AI action taken inside it. Copilot's drafts remain fully editable before send, Autopilot resolutions are logged and reviewable, and AI Topics tags feed straight into Front's existing rules and reporting rather than a separate system.

Maturity and scope

Most teams start with Copilot in draft-only mode and AI Topics tagging, since both ship on Front's plans with little rollout risk. As trust builds, we extend Autopilot to a narrow set of well-understood intents, then widen its scope, and layer in Smart QA and Smart CSAT once ticket volume is high enough for the scoring to be meaningful.

Delivery constraints

Front doesn't offer a "train a model on your data" product — Copilot and Autopilot work off the content you already have in Front, Confluence, and Guru rather than a custom fine-tuned model, and several of the more advanced AI features are gated by plan tier, which we confirm against your contract before scoping the rollout.

Use cases

  • AI-generated suggested replies surfaced directly in Front for common inquiries
  • Automated knowledge-base recommendations during ticket creation in Front
  • Sentiment-aware routing to escalate at the right moment within Front
  • Intent inference to classify tickets and auto-assign to specialized teams
  • Contextual prompts that pull customer history into Front for faster resolution
  • Explainable AI prompts with reasoning visible to agents in Front
  • Quality scoring of responses with Front-based feedback loops
  • Anomaly detection on ticket patterns to trigger proactive outreach
  • Proactive follow-ups using Front to improve renewal chances
  • AI-assisted knowledge base maintenance linked to Front workflows

Each use case is implemented with Front as the control surface, ensuring operational alignment.

Open the full guide: AI →

Comparisons

7 guides

Front FAQ

9 questions
Does Front offer AI-assisted features for drafting or routing conversations?

Front's AI features include AI-assisted reply drafting (suggesting a response based on the conversation and, where connected, your knowledge base) and conversation summarization, surfaced directly in the compose window rather than as a separate tool.

Implementation Details

AI-drafted replies are a starting point requiring review before sending, since the AI works from the visible conversation and connected knowledge sources rather than having deeper context about a specific customer relationship. Because Front centralizes multiple channels into shared inboxes, AI suggestions operate within the same inbox-level visibility as a human teammate rather than pulling data from inboxes a given user doesn't have access to.

Actionable Considerations

  • Review AI-drafted replies before sending, since they're based on visible conversation context, not deeper customer history.
  • Confirm AI suggestions respect existing inbox-level access, since they shouldn't surface content from inboxes a teammate can't see.
  • Connect your knowledge base where possible, since AI drafting quality depends on what source content is actually available to it.
How do I connect mailboxes and integrate Front with existing tools?

Front connects common email providers (Gmail, Outlook/Microsoft 365) plus SMS, live chat, and social channels into shared inboxes, and separately integrates with CRM, support, and collaboration tools (Salesforce, HubSpot, Slack, Jira) via native integrations or the Front API/webhooks for custom connections.

Implementation Details

Because Front centralizes messages into shared inboxes, integration setup is really about deciding which inbox a connected channel or tool feeds into, and which teammates get visibility -- getting this structure right matters more than the technical connection step itself. Front's API and webhooks cover custom integrations beyond the native connector list, useful for pushing conversation data into an internal system without a pre-built connector.

Actionable Considerations

  • Decide which shared inbox a connected channel or integration feeds into before connecting it, since that determines who sees the resulting messages.
  • Check native integrations (Salesforce, HubSpot, Slack, Jira) before building a custom connection via the API or webhooks.
  • Pilot a new integration with a limited group before rolling it out to a production inbox.
How does Front scale with growing teams and increasing volumes of conversations?

Front scales by adding shared inboxes and teammates rather than a single growing mailbox -- as message volume grows, splitting into more specific, purpose-built inboxes (by team, channel, or issue type) with tailored Rules-based routing is the practical mechanism for keeping response times manageable, rather than one large inbox handling everything.

Implementation Details

SAML SSO and SCIM provisioning (available on higher-tier plans) support centralized identity management as headcount grows, reducing manual account creation/removal. Rules and routing logic should be reviewed periodically as an organization grows, since rules built for an earlier, smaller team structure can misroute messages as teams and inboxes are added or reorganized.

Actionable Considerations

  1. Split into more specific, purpose-built inboxes as volume grows, rather than expanding one large shared inbox indefinitely.
  2. Enable SAML SSO and SCIM provisioning (higher-tier plans) to centralize identity management as headcount grows.
  3. Review and update Rules-based routing periodically, since rules built for an earlier team structure can misroute messages after reorganization.
What automation capabilities does Front offer to streamline responses?

Front's Rules are the core automation mechanism -- condition-based logic (sender, subject keywords, tags) that can auto-assign, tag, snooze, or move conversations between inboxes, running automatically as messages arrive rather than requiring manual sorting.

Implementation Details

Rules run in a defined order and can conflict if not carefully sequenced, since two rules matching the same message can produce unexpected results depending on which runs first -- testing a new rule on a pilot inbox before applying it to a production alias is the practical safeguard. Sequences (a distinct Front feature for multi-step, time-delayed follow-up messages) handle scheduled follow-ups separately from the immediate, condition-based logic of Rules.

Actionable Considerations

  1. Test new Rules on a pilot inbox before applying them to a production email alias, since a misconfigured rule can silently reroute customer messages.
  2. Review rule execution order when multiple rules could match the same message, since conflicts produce unpredictable routing.
  3. Use Sequences specifically for scheduled, multi-step follow-ups, distinct from the immediate condition-based logic of Rules.
What engagement outcomes can I expect when using Front for customer communications?

Front's Analytics (response time, resolution time, volume by teammate/tag/channel) is the concrete way to measure whether shared-inbox collaboration is actually improving, rather than a general sense that the team feels more coordinated.

Implementation Details

Because every message in a shared inbox is visible to the whole team, collision detection (showing when another teammate is already viewing or drafting a reply) is what actually prevents duplicate responses at scale -- if two agents aren't seeing that indicator, it's worth checking their inbox and connection setup. Saved replies (reusable message templates) and Rules-based routing both directly affect response time, the metric most teams actually track as their core engagement signal.

Actionable Considerations

  • Track Front's built-in Analytics (response time, resolution time) as concrete engagement metrics rather than a subjective sense of coordination.
  • Confirm collision detection is working as expected, since it's the actual mechanism preventing duplicate replies in a shared inbox.
  • Build out saved replies and Rules-based routing specifically to improve response time, the metric most teams prioritize.
What is Front and how does it help my team manage emails and messages?

Front is built around shared inboxes (not individual mailboxes) -- connecting a channel (a shared email alias, SMS number, live chat widget, or social account) to a Front inbox and adding teammates who need visibility is the core setup step, since every message in a shared inbox is visible to everyone with access to that inbox.

Implementation Basics

Rules (Front's automation feature, distinct from a general workflow builder) auto-assign, tag, snooze, or route conversations based on conditions like sender or keywords -- worth testing on a small pilot inbox before applying to a production email alias, since a misconfigured rule can silently reroute customer messages. Teammate access is controlled at two levels: an overall Member/Admin role, and separately which specific inboxes that teammate belongs to.

Practical Considerations

  • Decide which shared inboxes to create and who belongs in each one, since that drives visibility more than individual permissions.
  • Pilot Rules on a small group before connecting them to a production email alias, since a misconfigured rule can silently reroute messages.
  • Remember that Admin/Member role and inbox membership are separate settings -- an Admin isn't automatically added to every inbox.
What security controls and permissions are available in Front?

Front's access model has two distinct layers -- a teammate's overall role (Member or Admin) in the admin console, and separately which specific shared inboxes that teammate belongs to -- so an Admin isn't automatically granted visibility into every inbox, and inbox membership needs to be managed on its own.

Implementation Details

SAML-based single sign-on and SCIM provisioning are available on Front's higher-tier plans for centralized identity management, distinct from the entry-level plan's manual user management. Rules that auto-route or auto-assign messages run with system-level permissions once configured, so reviewing who can create or edit Rules matters as much as reviewing individual teammate inbox access.

Actionable Considerations

  1. Manage inbox membership separately from Admin/Member role, since the two control different things and an Admin isn't auto-added to every inbox.
  2. Enable SAML SSO and SCIM provisioning on higher-tier plans for centralized identity management rather than manual user administration.
  3. Restrict who can create or edit Rules, since routing automation runs with broad effect once configured.
What setup tips help IT teams deploy Front smoothly?

Front is built around shared inboxes rather than individual mailboxes: IT typically connects a channel (a shared email alias, an SMS number, a Front-hosted live chat widget, or a social account) to a Front inbox, then adds teammates who need visibility into that inbox. Because every message in a shared inbox is visible to every teammate with access to it, the rollout decision that matters most is which inboxes to create and who belongs in each one, not individual mailbox permissions.

Practical Details

Message handling is automated with Rules, which run on conditions like sender, subject keywords, or tags to auto-assign, tag, snooze, or move conversations between inboxes; a pilot group should test these before they apply company-wide, since a misconfigured rule can silently reroute customer messages. Access itself is controlled at two levels: a teammate's overall role (Member or Admin) in Front's admin console, and separately which specific inboxes that teammate belongs to, so someone can be a full Admin without seeing every shared inbox. SAML-based single sign-on and SCIM user provisioning are available on Front's higher-tier plans for centralized identity management.

Actionable Considerations

  1. Pilot inbox structure and Rules with a small group before connecting production email aliases in Front.
  2. Grant inbox membership separately from Admin/Member role assignment, since the two control different things in Front.
  3. Enable SAML SSO and SCIM provisioning where available so user lifecycle changes propagate into Front automatically.
Who can see what in Front and how is data ownership handled?

Front assigns conversation ownership to individual teammates or teams, distinct from inbox-level access -- someone can have visibility into a shared inbox without being the assigned owner of a specific conversation, which is the mechanism for keeping accountability clear even when many people can technically see a message.

Implementation Details

Because visibility is inbox-based (everyone with access to a shared inbox sees every message in it), the practical control for sensitive conversations is deciding which inbox they land in and who has access to that inbox, rather than a per-message visibility toggle. Tags and Rules-based auto-assignment work together to set default ownership as messages arrive, reducing reliance on manual assignment for routine conversation types.

Actionable Considerations

  1. Route genuinely sensitive conversations into a narrowly-accessed inbox, since Front's visibility model is inbox-based rather than per-message.
  2. Use Rules-based auto-assignment to set default conversation ownership for routine message types, reducing manual assignment work.
  3. Distinguish inbox access (who can see a conversation) from conversation ownership (who's accountable for it), since they're separate concepts in Front.

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