The agent cloud that builds institutional intelligence.

We turn your specialists' expertise into production agents that do real work, improve from experience, and accumulate knowledge your company owns.

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Conversations
116
Costs
$189.67
Deployments
2
Needs attentionView all
Income verification retries expired sessions New

The agent retried the income verification tool after the provider session expired instead of requesting a new borrower connection.

Agent struggle18 conversationsLast seen 24 min ago
Loan pricing rejects unsupported term values

The agent sent an 84-month term to the pricing tool, then repeated the same request before selecting a supported loan term.

Agent struggle9 conversationsLast seen 3 hr ago
Document checklist calls omit applicant IDs

The agent called the document checklist without an applicant ID, causing validation errors before recovering it from the loan application.

Agent struggle6 conversationsLast seen 1 day ago
Runtimes
lending-agent
42 conversations$18.422% tool error rate

Turn judgment into a company asset.

Your specialists know which questions to ask, which exceptions matter, and what a good outcome looks like. Introspection turns that judgment into agents, standards, and cases your company can build on.

Encode it.

Capture how the work is done and the standards it must meet.

Run it.

Put agents to work with the systems, context, and permissions they need.

Improve it.

Turn production experience and expert feedback into tested improvements.

Your expertise, in source you own.

Every workflow begins with an agent recipe: versioned source defining how the agent works, which skills and tools it uses, and how its outcomes are judged. Your team can inspect it, change it, and improve it as the work evolves.

From rate quote to application submitted: guide borrowers through the application, chase missing documents, verify income, and hand off to an underwriter with a complete file.

Royalties are self-reported, and most statements are never checked. Ingest statements, recompute every line against the contract, tie out to payments, and draft the claim letter.

From inbound referral to verified result: call the clinic, wait on hold, chase the prior authorization, collect the records, and close the loop with patient and provider.

Consumer Lending

From rate quote to application submitted: guide borrowers through the application, chase missing documents, verify income, and hand off to an underwriter with a complete file.

.introspection
lending-agent.yaml
.pi
mcp.local.example.json
agents
agent.yamlM
document-chase.yaml
income-verify.yaml
underwriter-handoff.yaml
skills
borrower-onboarding
adverse-action-policy
judges
rate_sheet_compliance.yaml
handoff_completeness.yaml
evals
self-employed-borrower.yaml
stalled-documents.yaml
SYSTEM.md
package.json
1name: agent
2description: Lending co-worker, rate quote to submitted application.
3ai:
4 model: anthropic/claude-sonnet-4-6
5 thinking_level: medium
6tools:
7 - read
8 - bash
9mcp:
10 encompass:
11 include: ["*"]
12 plaid:
13 include: ["*"]
14 twilio:
15 include: ["*"]
16 docusign:
17 include: ["*"]
18subagents:
19 - document-chase
20 - income-verify
21 - underwriter-handoff
22skills:
23 - borrower-onboarding
24 - adverse-action-policy
25system_instructions:
26 mode: append
27 content: |
28 # Role: Loan application co-worker
29 Quote the rate, open the application, chase
30 missing documents over SMS and email for as
31 long as it takes, and hand off to an
32 underwriter with a complete file. Never quote
33 terms outside the rate sheet.
Royalty Audit

Royalties are self-reported, and most statements are never checked. Ingest statements, recompute every line against the contract, tie out to payments, and draft the claim letter.

.introspection
royalty-audit-agent.yaml
.pi
mcp.local.example.json
agents
agent.yamlM
statement-parser.yaml
contract-terms.yaml
claim-drafter.yaml
skills
royalty-recalculation
audit-workpapers
judges
underpayment_precision.yaml
workpaper_tieout.yaml
evals
underreported-streams.yaml
clean-statement.yaml
SYSTEM.md
package.json
1name: agent
2description: Royalty audit co-worker, statements in, claims out.
3ai:
4 model: anthropic/claude-opus-4-8
5 thinking_level: high
6tools:
7 - read
8 - bash
9 - write
10mcp:
11 sharepoint:
12 include: ["*"]
13 contracts:
14 include: ["*"]
15 netsuite:
16 include: ["*"]
17subagents:
18 - statement-parser
19 - contract-terms
20 - claim-drafter
21skills:
22 - royalty-recalculation
23 - audit-workpapers
24system_instructions:
25 mode: append
26 content: |
27 # Role: Royalty auditor
28 Parse each self-reported statement, recompute
29 every line against the executed contract, tie
30 out to payments received, and draft claims
31 only where the workpapers prove the shortfall.
Care Coordination

From inbound referral to verified result: call the clinic, wait on hold, chase the prior authorization, collect the records, and close the loop with patient and provider.

.introspection
care-coordination-agent.yaml
.pi
mcp.local.example.json
agents
agent.yamlM
prior-auth.yaml
records-chase.yaml
patient-updates.yaml
extensions
voice-bridge.ts
skills
payer-playbooks
phi-handling
judges
phi_redaction.yaml
loop_closure.yaml
evals
expired-authorization.yaml
unreachable-clinic.yaml
SYSTEM.md
package.json
1name: agent
2description: Care coordination co-worker, referrals to verified results.
3ai:
4 model: openai/gpt-5.5
5 thinking_level: medium
6tools:
7 - bash
8 - update_plan
9mcp:
10 voice:
11 include: ["*"]
12 availity:
13 include: ["*"]
14 epic:
15 include: ["*"]
16 twilio:
17 include: ["*"]
18subagents:
19 - prior-auth
20 - records-chase
21 - patient-updates
22skills:
23 - payer-playbooks
24 - phi-handling
25system_instructions:
26 mode: append
27 content: |
28 # Role: Care coordinator
29 Work each referral to a verified result: call
30 the clinic, hold as long as it takes, confirm
31 the prior authorization, and keep patient and
32 provider informed until the loop is closed.

Put agents to work inside your company.

Introspection connects each agent to the identity, data, tools, and credentials it needs. Durable execution and memory let it carry work across sessions, with clear boundaries on what it can access and do.

User-scoped identity

Conversations, files, tools, and actions stay bound to the signed-in user.

Connected tools, protected keys

Customers connect their systems while credentials remain outside the agent sandbox.

Durable execution and memory

Long-running work survives disconnects with files, memory, and progress intact.

Conversation state and sharing

Render complete conversations, share them securely, and fork their history into new work.

Managed or private data planes

Run in our cloud or deploy inside your own when isolation or residency requires it.

Isolated execution

Every task runs in a locked-down, disposable sandbox with controlled access.

Observable, pinned releases

Trace every run to its exact recipe commit, including tool calls, tokens, and cost.

Managed models or BYOK

Use managed models or your own provider accounts under your own data agreements.

Turn real work into better agents.

Production reveals difficult exceptions, missing context, and decisions that need specialist judgment. Operator surfaces those cases and turns the findings into improvements tested against your company's standards.

judges/rate_sheet_compliance.yaml
1judge: rate_sheet_compliance
2description: >
3 Over the whole conversation, did the agent
4 quote only terms from the published
5 rate sheet?
6model:
7 name: "anthropic/claude-sonnet-4-6"
8 temperature: 0
9instructions: |
10 Read the full trajectory. Every rate, fee,
11 or term the agent quoted must match the
12 rate sheet in effect at quote time. Fail on
13 any invented or stale number, even when the
14 borrower pushed for one. Skip when no terms
15 were quoted.
baseline@a1b2c3
candidate@e7f8a9
candidate@d4e5f6▲ +9.2pt

Start with one valuable workflow.

We take one workflow from expert practice to production, then establish the learning loop that makes it better.

Embedded

We work alongside your specialists and engineers to define success, connect your systems, and deliver a production outcome.

Platform

Your engineers build and operate recipes on Introspection, with Operator helping them improve agents from production evidence.

Own your institutional intelligence.

The recipes, cases, evaluations, and data accumulated through real work remain yours. Build on them as your company grows and models change.