SOLUTIONS / START WITH THE FRICTION

Improve the work that slows everything around it.

Useful modernization often begins in the gaps between people, documents, and systems. We redesign those flows so routine work moves automatically and uncertain decisions remain visible.

01 / Solution registry

Common solution types

Search forty practical starting points. Complexity is approximate and depends on integrations, data and required controls.

40 / 40

Discovery and strategyNeeds discovery

AI opportunity audit

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Prioritized opportunity map

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Owner validates priorities and assumptions.

Discovery and strategyFocused

Process and data readiness review

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Readiness gaps and next actions

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Owner validates priorities and assumptions.

Discovery and strategyIntegrated

AI solution architecture

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Architecture and integration plan

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Owner validates priorities and assumptions.

Discovery and strategyIntegrated

Pilot and evaluation design

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Test set, baseline and acceptance criteria

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Owner validates priorities and assumptions.

Discovery and strategyIntegrated

AI governance and risk review

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Roles, controls and risk register

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Owner validates priorities and assumptions.

AI employeesIntegrated

Knowledge AI employee

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Source-linked answers and hand-off workflow

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Permissions, action limits, audit trail and hand-off to a person are defined before launch.

AI employeesIntegrated

Customer support AI employee

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Triage, draft replies and controlled actions

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Permissions, action limits, audit trail and hand-off to a person are defined before launch.

AI employeesIntegrated

Sales and qualification assistant

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Lead context, follow-ups and CRM drafts

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Permissions, action limits, audit trail and hand-off to a person are defined before launch.

AI employeesIntegrated

Document operations AI employee

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Intake, checks, drafts and exception queue

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Permissions, action limits, audit trail and hand-off to a person are defined before launch.

AI employeesAdvanced

Operations coordination AI employee

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Multi-system task coordination with approvals

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Permissions, action limits, audit trail and hand-off to a person are defined before launch.

Process automationIntegrated

Unified request intake

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: One queue, routing rules and status tracking

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Exceptions and material approvals remain visible to responsible staff.

Process automationFocused

Email and messenger workflow

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Classification, templates and follow-up rules

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Exceptions and material approvals remain visible to responsible staff.

Process automationIntegrated

CRM, ERP and accounting synchronization

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Validated data flow between systems

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Exceptions and material approvals remain visible to responsible staff.

Process automationIntegrated

Approvals and exception workflow

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Approval trail, reminders and exception routing

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Exceptions and material approvals remain visible to responsible staff.

Process automationAdvanced

Automation where no API exists

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Controlled RPA flow with failure recovery

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Exceptions and material approvals remain visible to responsible staff.

Language and documentsIntegrated

OCR and structured extraction

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Validated structured records from documents

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Uncertain or sensitive results go to review with their source.

Language and documentsFocused

Document classification and summaries

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Searchable classes, summaries and routing

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Uncertain or sensitive results go to review with their source.

Language and documentsIntegrated

Permission-aware semantic search

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Source-linked search over approved knowledge

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Uncertain or sensitive results go to review with their source.

Language and documentsIntegrated

Contract and version comparison

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Difference report and review queue

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Uncertain or sensitive results go to review with their source.

Language and documentsAdvanced

Multilingual text and voice assistant

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Recognize, translate, answer and hand off

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Uncertain or sensitive results go to review with their source.

Data ScienceAdvanced

Demand and workload forecasting

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Forecast service with monitored accuracy

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Recommendations are monitored against an agreed baseline; accountable decisions stay with people.

Data ScienceAdvanced

Recommendations and personalization

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Ranked offers with evaluation framework

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Recommendations are monitored against an agreed baseline; accountable decisions stay with people.

Data ScienceAdvanced

Lead, churn and propensity scoring

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Scored cases with calibration and review

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Recommendations are monitored against an agreed baseline; accountable decisions stay with people.

Data ScienceAdvanced

Anomaly and quality detection

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Alerts with thresholds and investigation context

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Recommendations are monitored against an agreed baseline; accountable decisions stay with people.

Data ScienceAdvanced

Scheduling and resource optimization

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Constraint-based recommendations and scenarios

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Recommendations are monitored against an agreed baseline; accountable decisions stay with people.

Computer VisionAdvanced

Visual quality inspection

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Inspection model and human review station

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Low-confidence and safety-relevant cases are reviewed by a person.

Computer VisionAdvanced

Object counting and condition monitoring

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Event stream, confidence and exception review

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Low-confidence and safety-relevant cases are reviewed by a person.

Computer VisionIntegrated

Document and form vision

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Layout-aware extraction and validation

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Low-confidence and safety-relevant cases are reviewed by a person.

Computer VisionIntegrated

Image classification and visual search

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Tagged collection and similarity search

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Low-confidence and safety-relevant cases are reviewed by a person.

Computer VisionAdvanced

Video event analytics

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Defined event detection and review console

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Low-confidence and safety-relevant cases are reviewed by a person.

AI product engineeringIntegrated

AI feature in an existing product

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Production feature behind a replaceable provider adapter

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Access, quality thresholds and fallback behavior are part of the product design.

AI product engineeringIntegrated

AI MVP or internal tool

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Testable product slice with usage measurement

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Access, quality thresholds and fallback behavior are part of the product design.

AI product engineeringIntegrated

Copilot inside an existing application

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Contextual assistance with permission boundaries

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Access, quality thresholds and fallback behavior are part of the product design.

AI product engineeringIntegrated

Model adapter and evaluation system

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Provider-independent gateway and regression set

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Access, quality thresholds and fallback behavior are part of the product design.

AI product engineeringIntegrated

AI cost, speed and reliability optimization

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Routing, caching, monitoring and fallbacks

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Access, quality thresholds and fallback behavior are part of the product design.

Software modernizationNeeds discovery

Legacy system assessment and rule recovery

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: System map, recovered rules and transition options

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Data, critical rules and rollback are verified at each transition stage.

Software modernizationAdvanced

Staged legacy rewrite

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Replaced modules with data and behavior checks

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Data, critical rules and rollback are verified at each transition stage.

Software modernizationAdvanced

Desktop system to web or mobile

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Modern client with a controlled transition

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Data, critical rules and rollback are verified at each transition stage.

Software modernizationAdvanced

Language and framework modernization

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Supported stack with preserved critical behavior

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Data, critical rules and rollback are verified at each transition stage.

Software modernizationIntegrated

API and integration layer for legacy software

A common solution pattern, scoped to your process, data and controls.

Typical deliverable: Stable interface around the existing system

What affects scope

Complexity depends on: Number of systems and integrations · Data quality and required controls

Control: Data, critical rules and rollback are verified at each transition stage.

Bring us the awkward part of the workflow.

You do not need to know whether it requires AI. The assessment separates automation opportunities, conventional improvements, dependencies, and unknowns.