The agent cloud that turns real work into intelligence.

Build agents from your specialists' expertise. Turn production experience into better agents, training data, and specialized models your company owns.

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consumer-lending

Welcome back, Roland

Conversations

116

Costs

$189.67

Deployments

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

The next AI breakout will come from a services firm.

Institutional intelligence is built through decades of expert judgment, client work, and knowing what good looks like. As AI research becomes automated, services firms can turn that accumulated expertise into frontier intelligence in their domains.

Introspection brings the research capability inside the firm, turning real work and expert judgment into agents and models they own.

Read our manifesto

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 that do the work and improve from experience.

Encode it.

Turn your specialists' judgment into agents that can carry out complex work.

Run it.

Deliver that expertise to your team and customers through agents that act across your systems.

Grow it.

Turn real work and expert feedback into better agents, training data, and specialized models your company owns.

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.

Learn about Recipes

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 for your team and your customers.

Build agents for internal operations or customer-facing products. Introspection connects each agent to the identity, data, tools, and credentials it needs, with access scoped to the user it serves. Durable execution and memory let it carry work across sessions.

Identity and access

Give each agent an identity and permissions scoped to its work.

Tools and credentials

Connect company systems and make credentials available where they are needed.

Durable execution

Carry work through long-running operations, interruptions, and retries.

Memory and context

Retain useful context so agents can continue work across sessions.

Your firm’s automated AI researcher.

Operator investigates production failures and learns from expert feedback to improve your agents. It develops tools, prepares training data, and tests new approaches against your firm’s standards. Your specialists set the direction. Each validated improvement becomes intelligence your firm owns.

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How we work.

We work alongside your specialists to turn their expertise into production agents. Begin with a high-value task, prove it in practice, then expand across your teams and clients.

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.

Talk to us