AI Coworkers

Deliver Decision-Grade
Execution-Ready Artifacts

Enterprises are bottlenecked by decision latency, cognitive overload. Deploy AI Coworkers that create audit-ready artifacts—always read-only, always requiring human approval.

Mission Control
Ready for Review 3
Blocked 1
Opportunities 5
Decision Packet #4291
Reallocation Request - Supply Chain
Needs Approval
Context Graph
Verification
Tool Chain
Analysis: Inventory skew detected in EMEA node.
Proposal: Shift 5k units from APAC. Cost: $12k.
Margin Impact: Low SLA: OK

The Decision Production Bottleneck

Enterprises don't suffer from a lack of data; they suffer from a lack of synthesized, actionable decisions. Traditional automation handles rote tasks, but complex cognitive work creates a backlog of unmade choices.

When humans are overloaded, quality drops. Decisions become latent, inconsistent, and forgotten. The result is organizational paralysis.

  • Cognitive Overload: Too many signals, too little bandwidth.
  • Cognitive Amnesia: Context is lost between meetings.
  • Decision Latency: Critical choices wait days for review.
  • Decision Inconsistency: Policies applied unevenly.
Before
Bottleneck
After
Parallel Scale

Offload Cognitive Workload

Delegate the heavy lifting of synthesis and analysis to AI Coworkers.

  • • Reduce review time by 60%
  • • Pre-digested context packets
  • • Automated policy checks

Increase Quality & Speed

Achieve rigorous consistency without sacrificing velocity.

  • • 24/7 decision preparation
  • • Deterministic verification
  • • Zero policy drift

Facilitate Growth

Scale institutional competence (Knowledge-Execution-Strategy).

  • • Capture tacit knowledge
  • • Standardize best practices
  • • Audit-ready history

Deliverables-First Workflow

No direct write actions by default;read only.

Intake

Context

Policy

Exec (Sandbox)

Verification

Approval

Trust through Externalized Cognition

Every decision packet is fully auditable, showing the work behind the conclusion.

The explicit sequence of steps the AI plans to take. Auditable before execution.

1. Fetch_Invoice(id="INV-992") 2. Compare_PO_LineItems(po="PO-881") 3. IF discrepancy > 5%: Flag_Exception()

Lineage of all data used to form the decision, including provenance and assumptions.

Node: "Q3_Revenue" -> Source: "SAP_BW" (Fetched: 10:02am) Edge: "Derived_Growth" -> Formula: "(Q3-Q2)/Q2" Assumption: "Fx_Rate" = 1.05 (Default policy)

Log of all read/write operations with strict pre/post conditions.

CALL: CRM.GetCustomer("C-102") RET: { status: "Active", credit_hold: false } CHECK: credit_hold == false -> PASS

Deterministic checks that must pass before the packet is presented for approval.

Rule: Total_Risk_Score < 50 Result: 42 (PASS) Rule: Compliance_Signoff_Present Result: TRUE (PASS)

Governance & Security

Governance Principles

Built on the principle of Least Privilege and Segregation of Duties. Approvals are routed dynamically based on risk scores. Full audit logs are immutable.

Security Architecture

Read-only connectors by default. Secrets are handled in secure vaults. All execution happens in ephemeral, sandboxed environments with full traceability.

Control Plane Active
  • Policy Checks Enforced
  • Idempotency Keys Active
  • Audit Records (Immutable)
  • Safe Tool Gateway

Enterprise-Ready Workflows

Finance

Cash & Liquidity

Inputs: Bank APIs, ERP AR/AP

Output: Daily position packet

Gates: Balance check, FX var
Finance

DSO Exceptions

Inputs: Aging reports, CRM

Output: Intervention plan

Gates: Policy threshold, Credit
Finance

Close Readiness

Inputs: GL, Sub-ledgers

Output: Triage packet

Gates: Variance < 1%, Signoff
Sales Ops

Deal Desk

Inputs: CRM quote, Discount matrix

Output: Approval packet

Gates: Margin floor, Terms
Supply Chain

Reallocation

Inputs: Inventory levels, Demand forecast

Output: Transfer decision

Gates: Cost impact, Stockout risk
IT / Sec

Incident Response

Inputs: SIEM logs, Asset DB

Output: Comms + Action card

Gates: Severity score, PII check

Measurable Outcomes

60%
Cycle Time Reduction
(example)
40%
Rework Loop Drop
(example)
100%
Policy Adherence
(example)
3x
Risk Reduction
(example)

Disclaimer: Illustrative metrics; measured per pilot.

Pilot Approach (4–6 Weeks)

Weeks 1-2: Setup & Definition

Connect read-only data sources. Define packet templates and verification logic.

Weeks 3-4: Shadow Run

AI Coworkers run in parallel with human teams (silent mode). Calibrate accuracy.

Weeks 5-6: Active Pilot & Gates

Enable "Approval Needed" packets. Measure acceptance rates against production gates.

Production-Ready Release Gates

Verification Pass Rate > 95% Evidence Freshness < 1hr Audit Completeness 100%

Prove value in 30 days.

Start with one role. Three workflows. Measured outcomes.

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