Capabilities

Everything we bring to your projects.

Carric builds and operates production AI workflows — the AI systems, the software around them, the data foundation beneath them, and the ongoing engineering ownership that keeps them working. These are the engineering muscles behind every engagement, not four things to buy. You engage one path; this is what we apply once we're in.

Capability 01
01

AI Engineering

Production AI built into real operational workflows — not demos or generic chatbots. It earns its place by handling routine cases, routing exceptions to people, and producing measurable operational returns.

What it covers
AI workflow automation
Document AI & intelligent processing
AI agents & human-in-the-loop workflows
Retrieval-augmented generation
AI-assisted decision support
Classification, extraction, validation, routing & generation
Generated reports, messages, packets & summaries
Model evaluation, reliability testing & productionization
Exception queues & review workflows
Workflow observability & quality monitoring
Capability 02
02

Software Engineering

The system work that gets AI into production: connecting it to real tools, making workflows usable by operators and IT, and building the product and software a retained client keeps depending on. Not commodity dev-shop output.

What it covers
Internal tools & workflow applications
Web apps, portals & dashboards
API development & system integrations
CRM, ERP, EHR, LIMS & billing integrations
Legacy system modernization
Automation backends & orchestration layers
Cloud application architecture
Authentication, authorization & access control
Deployment infrastructure & production hardening
Product & platform features for retained clients
Capability 03
03

Data Engineering

The data, document, and knowledge foundation AI needs to work reliably — making operational records, rules, and institutional knowledge usable by production AI without losing control, permissions, traceability, or source-of-truth discipline.

What it covers
Data pipelines & ETL / ELT
Data integration & normalization
Operational stores & source-of-truth design
Document ingestion, metadata & versioning
Knowledge bases & enterprise search
Vector databases & retrieval infrastructure
Governance, permissions, lineage & audit trails
Reporting-ready & AI-ready data layers
Data quality checks & cross-system reconciliation
Permission-aware access to records & knowledge
Capability 04
04

Managed Engineering

The ongoing ownership layer. Carric doesn't build and leave — it keeps workflows and critical software working, improves them as real usage exposes what to change, extends them with new product and software capability, and finds the next workflow worth automating.

What it covers
Workflow monitoring & support
Exception handling & escalation
Performance reviews & improvement cycles
Production reliability & incident response
Model & workflow quality monitoring
New workflow discovery & expansion
Documentation, runbooks & handover
Take-over & stabilization of existing systems
Product & software improvements, platform features
Data & knowledge-layer improvements
Capabilities × the path

How each capability shows up across the path.

You buy one path — implement, operate, expand. Every capability is applied at each stage, not sold as a separate line.

Capability
Workflow Implementation
Managed Engineering
Operating Plan · Expansion
AI Engineering
Build and productionize the AI workflow behavior.
Monitor, evaluate, and improve the live workflow.
Use measured proof to identify and size adjacent opportunities.
Software Engineering
Build integrations, surfaces, and workflow apps around it.
Continue product features, reliability, and extensions.
Assess future system, product, and integration needs.
Data Engineering
Build the data, retrieval, and audit layer the workflow needs.
Maintain and improve pipelines, knowledge, permissions, and retrieval.
Assess adjacent data and source-of-truth readiness.
Managed Engineering
Prepare runbooks, observability, handover, and stabilization.
Own the ongoing engineering relationship.
Design the operating model for measured expansion.

Want the simple version of how you engage? See the three services →