Defined expectations
Each workflow has explicit success criteria and risk boundaries before it reaches production.
CAPABILITY 02 / ACTIVATION
Put intelligence to work.
We build agents and multi-agent workflows that use your data, tools and policies to perform real work - with evaluation, traceability, guardrails and human control designed in.
DEFINITION
What qualifies as an agentic system.
An agentic system reasons over context, uses tools, takes bounded actions and reports what happened. A chatbot that only answers questions does not qualify - and neither does a system that acts without limits, evaluation or traceability.
We do not promise full autonomy. We build systems where the scope of action is explicit, observable and under human control.
CORE LOOP
How an agent executes work.
Each stage is observable, so behavior can be evaluated and improved.
01ContextGROUNDED / GOVERNED
02ReasoningPLAN / DECIDE
03Tool useAPIs / SYSTEMS
04Bounded actionSCOPED / AUTHORIZED
05ObservationTRACED / LOGGED
06EvaluationMEASURED / IMPROVED
EVALUATION AND GUARDRAILS
Measured before and after it acts.
Bounded tool access
Agents reach systems through governed, least-privilege interfaces - never shared credentials.
Full traceability
Every run records what the agent saw, decided, used and changed.
Continuous evaluation
Behavior is evaluated against defined expectations as data, tools and models change.
HUMAN CONTROL
People stay in charge of consequences.
Approve before acting
High-consequence actions wait for explicit human approval.
Review after acting
Lower-risk work executes directly and remains reviewable through complete traces.
Escalate on uncertainty
When context is ambiguous or confidence is low, the system hands the case to a person.
PATTERNS
Where agentic systems earn their place.
Patterns we build, described without invented metrics. Case studies are published only with client approval.
Document-heavy operations
Intake, classification, extraction and follow-through across contracts, invoices and files.
Back-office workflows
Multi-step processes across ERP, CRM and internal tools, executed with traceable access.
Customer operations support
Assistance for teams with grounded context and prepared actions that a person confirms.
Internal knowledge access
Governed answers over company data, with sources and permissions preserved.
PLATFORM DEPENDENCIES
Agents are only as dependable as their foundation.
Production agents depend on governed data products, managed identity and platform observability. That is why Basalto builds the substrate first - or connects to yours where it already exists.
AI-native data platforms↗ARCHITECTURE SESSION
Start beneath the model.
Map the data, platform and operating foundation behind your next AI system.
Discuss an agentic use case