AI Agent Developer: Seattle

Hire an AI agent developer in Seattle.

Microsoft ISV partners, Boeing contractors, and Amazon B2B tools teams all have the same experience with agent demos: they work in isolation, in a notebook, against a toy dataset. The production version breaks in specific and predictable ways. An agent that sends emails without an approval gate sends the wrong email to the wrong person. An agent that places orders without idempotency keys places the same order twice when the network times out. An agent that logs nothing produces incidents that take a day to diagnose.

These are architecture problems, not model problems. Observability, approval gates, idempotency, and SSO delegation all need to be designed into the system from the start. Bolting them on after the first production failure is significantly more expensive than including them in the original build.

We build agents with these requirements in from day one, as a fixed-scope engagement.

How we work

Describe your enterprise agent requirements.

What enterprise agents require that demos do not.

A demo agent runs against a single user's data, in a single session, with no external side effects. When it makes a mistake, you close the notebook and try again. A production agent at enterprise scale runs against thousands of users' data, across concurrent sessions, with external side effects that range from reading a spreadsheet to sending an email to placing a purchase order.

Four requirements separate demo-quality from production-quality enterprise agents. Observability means every tool call is logged with enough detail to reconstruct what happened during a security incident. Approval gates mean irreversible actions pause for human confirmation. Idempotency means retrying a failed action does not duplicate it. SSO delegation means the agent operates within the triggering user's permission scope, not a broad service account.

None of these come for free from a framework. All four need explicit engineering decisions.

Observability and audit logging.

What you need to answer “what did the agent do and why?” in 5 minutes.

Every tool call logged

Each tool call emits a structured log event with tool name, input hash, output hash, latency, cost, user identity, and run ID. The log store is append-only and queryable by any field combination.

Cost tracking per run

Token consumption and external API costs are recorded at the tool call level and aggregated to the run level. Cost anomalies (a run that costs 10x the average) surface in the monitoring dashboard before the billing cycle.

Distributed trace per run

Each agent run generates a trace with spans for planning, tool execution, and synthesis steps. Latency outliers are visible in the trace without manual log parsing. Long tool calls are identified by name and input type.

Compliance query interface

A security reviewer can query all agent actions by user, by tool, by time range, or by cost. Queries return within 5 seconds on a 90-day window. No custom tooling required, the query interface is a standard SQL or API interface against the log store.

Approval gates, idempotency, and SSO delegation.

Approval gates for irreversible actions

Sending external emails, placing orders, updating billing records, and deleting data are gated by default. The agent queues the action, notifies the approver, and waits. Read operations and reversible writes continue without interruption. Approval thresholds are configurable by action type and transaction value.

Rollback mechanism for reversible writes

For writes that can be undone (CRM updates, internal record changes), the agent stores the pre-change state in a rollback record before executing. A one-step rollback reverts the change without requiring a support ticket or a developer.

Idempotency keys on every external call

Each tool call receives a deterministic idempotency key derived from the action type, input parameters, and run ID. For APIs that support idempotency natively, the key is sent in the request header. For APIs that do not, the deduplication layer intercepts retries and returns the cached result.

SSO delegation with token re-validation

The agent authenticates on behalf of the triggering user via OAuth delegation. The user's token is re-validated at each privileged tool call. If the token expires or the user's permissions change mid-task, the affected tool call fails gracefully with an error the agent surfaces to the user.

Questions from Seattle enterprise engineering teams.

What does a queryable agent audit log look like. What fields does each log entry need to contain for an enterprise security review?: Each log entry contains: event type (tool_call_start, tool_call_end, agent_start, agent_end, approval_requested, approval_granted, approval_denied), timestamp in ISO 8601, agent run ID, tool name, input payload hash (not the raw input if it contains PII), output payload hash, latency in milliseconds, cost in USD, user identity, and session ID. The log store is append-only and indexed by run ID, user identity, tool name, and timestamp. A security reviewer can query all tool calls made by a specific user in a time range, or all runs that exceeded a cost threshold, in under 5 seconds.
How do you design approval gates for irreversible actions without making the agent so interrupted it is no longer useful?: Approval gates apply only to actions that cannot be undone: sending an email to an external recipient, placing an order, updating a billing record, or deleting data. Read operations and reversible writes do not require approval. The gate is configurable by action type and value threshold. A $500 purchase order might auto-approve; a $50,000 purchase order requires a human. The agent queues the pending action, sends a notification to the approver, and waits. If the approver does not respond within a configurable window, the action is escalated or abandoned depending on your policy. The agent continues other non-blocked work while waiting.
What idempotency key implementation works best for agents that call external APIs that may not support their own idempotency?: We generate a deterministic idempotency key before each tool call using a hash of the action type, the input parameters, and the agent run ID. The key is stored in the agent's state before the call executes. If the call fails and retries, the same key is sent. For APIs that support idempotency keys natively (Stripe, most payment processors), the key is passed in the request header. For APIs that do not, we implement a deduplication layer in the tool executor: before calling the external API, we check whether a successful call with this key already exists in the deduplication store. If it does, we return the cached result without calling the API again.
When an agent acts on behalf of a user via SSO delegation, what happens if that user's permissions change mid-task?: The agent re-validates the user's token at each tool call that requires elevated permissions, not just at task start. If the token has expired or the user's access has been revoked since the task started, the specific tool call fails with an authorization error. The agent logs the failure with the user identity and the resource that was denied. Depending on your configuration, the task either pauses for re-authentication or terminates with an error state that can be restarted after the permissions issue is resolved. The task does not continue operating under the access level it had when it started.

Walk us through what the agent does and what it cannot get wrong.

Tell us the irreversible actions, the compliance requirements, and the user base size. We will reply within one business day.

Hire an AI agent developer in Seattle.

We build agents with these requirements in from day one, as a fixed-scope engagement.

What enterprise agents require that demos do not.

None of these come for free from a framework. All four need explicit engineering decisions.

Observability and audit logging.

What you need to answer “what did the agent do and why?” in 5 minutes.

Every tool call logged

Each tool call emits a structured log event with tool name, input hash, output hash, latency, cost, user identity, and run ID. The log store is append-only and queryable by any field combination.

Cost tracking per run

Distributed trace per run

Compliance query interface

Approval gates, idempotency, and SSO delegation.

Approval gates for irreversible actions

Rollback mechanism for reversible writes

Idempotency keys on every external call

SSO delegation with token re-validation

Questions from Seattle enterprise engineering teams.

What does a queryable agent audit log look like. What fields does each log entry need to contain for an enterprise security review?

Each log entry contains: event type (tool_call_start, tool_call_end, agent_start, agent_end, approval_requested, approval_granted, approval_denied), timestamp in ISO 8601, agent run ID, tool name, input payload hash (not the raw input if it contains PII), output payload hash, latency in milliseconds, cost in USD, user identity, and session ID. The log store is append-only and indexed by run ID, user identity, tool name, and timestamp. A security reviewer can query all tool calls made by a specific user in a time range, or all runs that exceeded a cost threshold, in under 5 seconds.

How do you design approval gates for irreversible actions without making the agent so interrupted it is no longer useful?

Approval gates apply only to actions that cannot be undone: sending an email to an external recipient, placing an order, updating a billing record, or deleting data. Read operations and reversible writes do not require approval. The gate is configurable by action type and value threshold. A $500 purchase order might auto-approve; a $50,000 purchase order requires a human. The agent queues the pending action, sends a notification to the approver, and waits. If the approver does not respond within a configurable window, the action is escalated or abandoned depending on your policy. The agent continues other non-blocked work while waiting.

What idempotency key implementation works best for agents that call external APIs that may not support their own idempotency?

We generate a deterministic idempotency key before each tool call using a hash of the action type, the input parameters, and the agent run ID. The key is stored in the agent's state before the call executes. If the call fails and retries, the same key is sent. For APIs that support idempotency keys natively (Stripe, most payment processors), the key is passed in the request header. For APIs that do not, we implement a deduplication layer in the tool executor: before calling the external API, we check whether a successful call with this key already exists in the deduplication store. If it does, we return the cached result without calling the API again.

When an agent acts on behalf of a user via SSO delegation, what happens if that user's permissions change mid-task?

The agent re-validates the user's token at each tool call that requires elevated permissions, not just at task start. If the token has expired or the user's access has been revoked since the task started, the specific tool call fails with an authorization error. The agent logs the failure with the user identity and the resource that was denied. Depending on your configuration, the task either pauses for re-authentication or terminates with an error state that can be restarted after the permissions issue is resolved. The task does not continue operating under the access level it had when it started.

Walk us through what the agent does and what it cannot get wrong.

Tell us the irreversible actions, the compliance requirements, and the user base size. We will reply within one business day.