Solutions

    Start where work already crosses systems and people.

    The best first workflow is repetitive enough to matter, complex enough to resist rigid automation, and important enough to require control.

    One execution layer for the teams building and operating AI work.

    Start from the responsibility your team owns, then connect the systems, decisions, and people required to carry it through.

    01By team

    Product & engineering

    Ship agent experiences without shipping a new runtime.

    Keep your team focused on the customer experience while AgentRuntime handles orchestration, state, tool execution, intervention, and operational visibility behind the interface.

    Plan an embedded product workflow →
    Where it fitsProduct & engineering
    • 01Embedded research and support agents
    • 02Agent-powered product actions
    • 03Long-running jobs exposed through an API
    Best first move

    Put one repeatable product task behind Runtime APIs, then add tools and autonomy as its behavior becomes trusted.

    Illustrative scenarioA research request starts inside the product
    1. The product API starts a published workflow
    2. Agents and tools gather, compare, and validate context
    3. A structured result streams back while the full run stays observable

    Operational result: The customer gets a product-native experience while the operating team retains a complete execution timeline.

    02By team

    Operations

    Coordinate work that crosses systems and owners.

    Give recurring operational work a durable path instead of coordinating it through inboxes, spreadsheets, and tribal knowledge. Every handoff remains visible when an exception changes the expected path.

    Map an operations workflow →
    Where it fitsOperations
    • 01Cross-system onboarding and provisioning
    • 02Exception queues and operational reviews
    • 03Scheduled reconciliation and follow-up
    Best first move

    Choose a process with frequent handoffs and a clear owner, then model its normal path and most common exception.

    Illustrative scenarioAn account setup leaves the normal path
    1. A system event starts the standard setup workflow
    2. A missing dependency creates a visible exception with an owner
    3. The run resumes from the same state after the issue is resolved

    Operational result: Operations sees the normal path and the exception path without coordinating the process in a spreadsheet.

    03By team

    Customer teams

    Resolve, onboard, and escalate with the full context.

    Let agents gather context and complete routine work while customer-facing teams keep authority over sensitive decisions. Escalations arrive with the investigation and relevant history already attached.

    Design a customer workflow →
    Where it fitsCustomer teams
    • 01Customer onboarding and implementation
    • 02Support investigation and issue resolution
    • 03Account research and proactive follow-up
    Best first move

    Start with one high-volume request where agents can prepare the work and people should own the final exception.

    Illustrative scenarioA support issue needs investigation and judgment
    1. The workflow gathers account, product, and support history
    2. Policy and risk checks determine whether routine action is safe
    3. Sensitive cases reach the correct person with the investigation attached

    Operational result: Routine work moves faster while customer-facing teams retain control over consequential decisions.

    04By team

    Finance & administration

    Keep documents, checks, and approvals in one trace.

    Use AI for extraction and interpretation while deterministic rules enforce thresholds, required evidence, and approval authority. The request, checks, and decisions remain attached to one run.

    Map a controlled approval flow →
    Where it fitsFinance & administration
    • 01Invoice and expense review
    • 02Document intake and validation
    • 03Approval routing and record reconciliation
    Best first move

    Begin with a document-heavy process whose approval thresholds and responsible owners are already defined.

    Illustrative scenarioAn invoice arrives with incomplete supporting data
    1. The workflow extracts fields and validates required evidence
    2. Deterministic thresholds select the approval path
    3. The responsible approver receives the request and full check history

    Operational result: The document, checks, authority, and final action remain connected in one trace.

    05By team

    Implementation partners

    Reuse the production foundation across customer projects.

    Standardize the execution, observability, and governance layer while adapting workflows, connectors, and policies for each customer. Delivery teams can spend more time on domain logic and less on runtime plumbing.

    Plan a reusable delivery pattern →
    Where it fitsImplementation partners
    • 01Reusable workflow accelerators
    • 02Customer-specific connector deployments
    • 03Governed multi-tenant implementations
    Best first move

    Turn one repeated delivery pattern into a configurable workflow with explicit extension points for customer systems and policy.

    Illustrative scenarioA repeatable delivery pattern meets a new client stack
    1. The partner starts from a governed workflow accelerator
    2. Customer connectors and policy boundaries replace defined extension points
    3. The same runtime provides execution, observability, and intervention

    Operational result: Delivery remains adaptable without rebuilding the production foundation for every engagement.

    Use AgentRuntime where decisions, tools, and ownership meet.

    These scenarios show how the execution model can fit operational work. They are product examples, not customer case studies or performance claims.

    Customer operations

    Onboard every customer without rebuilding the checklist each time.

    Collect context, select the onboarding path, prepare systems, assign owners, and pause only where human review adds value.

    Operational outcomes
    • Less manual coordination across sales, success, and implementation
    • A visible owner and status for every customer
    • Different paths for customer tier, product, and risk
    Explore the blueprint →
    Visual workflow graph for Onboard every customer without rebuilding the checklist each time.
    Trigger

    New customer created

    Create a durable run from a CRM webhook or API event and retain the source identifier for deduplication.

    Agent

    Research account

    Collect account tier, contacts, and connected context across tools before selecting an onboarding path.

    Decision

    Choose onboarding path

    Apply explicit rules for account tier, product, and risk to select the guided or self-serve path.

    Tool

    Prepare workspace

    Create records, tasks, and access in the workspace tool while retaining returned identifiers as workflow state.

    Human approval

    Review onboarding plan

    Pause until the assigned owner approves the plan. High-impact launch actions remain behind an explicit human boundary.

    Agent

    Launch onboarding

    Execute the launch sequence, monitor progress, and handle exceptions while the workflow remains the source of truth.

    Support operations

    Resolve routine cases automatically and escalate with the full context.

    An agent can investigate across tools, apply policies, and act when confidence is high. Complex or sensitive cases reach the correct person with the work already prepared.

    Operational outcomes
    • Faster resolution without blind auto-replies
    • Consistent policy enforcement
    • Better escalation packages for human agents
    Explore the blueprint →
    Visual workflow graph for Resolve routine cases automatically and escalate with the full context.
    Trigger

    Receive support ticket

    Create a durable run from a helpdesk webhook or API event and retain the ticket identifier for deduplication.

    Agent

    Gather account state

    Collect account tier, recent activity, entitlement status, and related CRM context before applying policy.

    Decision

    Apply policy and risk rules

    Use explicit category, account tier, and sensitivity rules to decide whether the case can auto-resolve or must escalate.

    Tool

    Resolve routine case

    Post the approved response, update ticket status, and retain the resolution summary as workflow state when confidence is high.

    Human approval

    Review escalation package

    Pause when policy requires human judgment. The assigned owner receives the ticket context, account research, and recommended next step.

    Tool

    Escalate with full context

    Notify the assigned owner in the coordination channel with the investigation package, policy decision, and ticket link.

    Engineering operations

    Turn an alert into one owned response path instead of another noisy channel.

    Normalize the alert, apply explicit severity rules, open a Slack response thread, pause for human authority, and preserve failures and decisions on the same execution timeline.

    Operational outcomes
    • One durable trace from alert receipt to resolution
    • Explicit incident ownership and human authority
    • Visible recovery when context or tool access fails
    Explore the blueprint →
    Visual workflow graph for Run incident response as one governed workflow.
    Trigger

    Receive and normalize the alert

    Create a durable run from a typed API or webhook event and retain the source identifier for deduplication.

    Agent

    Prepare the incident context

    Summarize the alert, affected service, available diagnostics, and recent changes without executing a corrective action.

    Decision

    Apply severity and routing rules

    Use explicit service, environment, and severity rules to select the response path and required owner.

    Tool

    Open the Slack response thread

    Post a structured incident message to an approved channel and retain the returned message timestamp as workflow state.

    Human approval

    Confirm ownership and authority

    Pause until an incident commander accepts ownership. High-impact remediation remains behind an explicit human boundary.

    Tool

    Keep the response thread current

    Post investigation updates and decisions as thread replies while the workflow remains the source of execution state.

    Finance and administration

    Move documents, checks, and approvals through one controlled process.

    Extract information, validate records, apply thresholds, request missing inputs, and route approval to the right person without losing the audit trail.

    Operational outcomes
    • Fewer manual hand-offs and follow-ups
    • Explicit approval authority
    • A traceable path from request to outcome
    Explore the blueprint →
    Visual workflow graph for Move documents, checks, and approvals through one controlled process.
    Trigger

    Receive expense document

    Create a durable run from a document intake event and retain the file reference, requester, and submission timestamp.

    Agent

    Extract and validate fields

    Extract amount, vendor, date, and category from the document, then validate required fields against policy before routing.

    Decision

    Apply policy thresholds

    Use explicit amount, department, and category rules to decide whether the request can auto-post or requires manager approval.

    Human approval

    Manager approval

    Pause until the assigned approver accepts or rejects the request. High-value or exception cases remain behind an explicit human boundary.

    Tool

    Post to accounting system

    Create or update the expense record in the accounting system and retain returned identifiers as workflow state.

    Tool

    Notify requester

    Send the approved, rejected, or posted status back to the requester with the run reference attached.

    Product-embedded agents

    Give your product an agent without making your product the runtime.

    Expose workflows through APIs so your interface can trigger reliable multi-step work while AgentRuntime manages tools, state, intervention, and observability behind it.

    Operational outcomes
    • Backend-first agent execution
    • Reusable workflows across multiple product surfaces
    • Operational visibility outside the customer interface
    Explore the blueprint →
    Visual workflow graph for Give your product an agent without making your product the runtime.
    Trigger

    Receive product request

    Create a durable run from a workflow API request and retain the caller, request identifier, and input payload.

    Tool

    Start workflow runtime

    Hand the request to AgentRuntime and persist the returned run identifier as workflow state.

    Agent

    Run parallel research tools

    Execute approved research and extraction tools in parallel while retaining each tool response on the run timeline.

    Agent

    Synthesize validated answer

    Combine tool outputs into a single candidate response that matches the product schema and policy constraints.

    Decision

    Validate output

    Apply explicit schema, safety, and confidence rules before the result is returned to the product.

    Tool

    Stream result to product

    Deliver the approved response through the configured stream or callback channel with the run reference attached.

    Look for operational friction, not an impressive demo.

    Frequent

    It happens often

    The process creates enough recurring work that even partial automation compounds.

    Cross-functional

    It crosses boundaries

    Information moves between tools, teams, or owners and currently requires coordination.

    Judgment-heavy

    It resists rigid rules

    The process needs context, interpretation, or exceptions — but not at every step.

    Bring us the workflow people complain about.

    We will help separate what agents should reason about, what tools should execute, and what people should still decide.