Aquarela Cloud Solutions

Aquarela SmartAgents

AI agents that reason, decide and act

Integrated with your organization's systems, SmartAgents interpret goals, plan steps and carry out authorized actions in operational workflows, always within the defined business rules, permissions and audit criteria.

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In practice: invoice reconciliation
Incoming email
“This invoice covers different orders. Some have already been paid, but we're still being charged. Can you check?”
What it understood
Compared the email with orders, invoices and accounting entries, separating paid items from those needing review.
What it decided and did
Reconciled authorized items in the business system, logged the discrepancy in a service desk ticket and notified the team in Teams.
Limits on action
Logged its actions and referred items without a clear match for human review, without authorizing payments.
What they are

AI agents built to execute processes

SmartAgents are artificial intelligence agents designed to support and carry out operational activities in business environments. Beyond answering questions or recommending next steps, they use context, business rules and system integrations to perform authorized actions in defined processes.

Built by Aquarela Cloud Solutions, SmartAgents combine applied AI, cloud integration, data and governance to turn manual workflows into faster, traceable and scalable operations.

Conventional assistant

“These are the steps you should follow to handle this request.”

SmartAgent

Interpreted the email and cross-checked orders, invoices and entries in the enterprise resource planning (ERP) system. Identified the discrepancy, opened a ticket and notified the team in Teams for human review. Logged the actions without authorizing payments.

interpretedactedlogged
What sets them apart

Five characteristics behind
every decision.

System integration

Connects to services with an API, such as CRM, enterprise resource planning (ERP) systems, databases and SaaS platforms.

With memory

Keeps context and history across interactions, so the conversation does not start from scratch.

Tailored

Personality and behavior configured for each use case.

Auditable

Lets you review and audit the agent's decisions through execution logs.

Secure by design

Each action is checked against business rules before execution.

Use cases

Use cases across
business areas.

Customer service

Analyzes requests, checks policies and runs standardized actions such as order updates, case creation and processing of eligible exceptions. Cases outside the rules are routed to human review.

Finance

Supports invoice reconciliation, flags mismatches between orders, invoices and entries, and updates systems according to established approval rules.

Human Resources

Supports administrative screening of applications based on objective criteria set by the organization, schedules interviews and updates stages in the recruiting system.

Legal

Reviews documents and recurring clauses against predefined parameters, highlighting exceptions and points that require specialist review.

Sales

Qualifies leads against sales funnel criteria, updates CRM information and triggers the next steps defined in the process.

Logistics

Monitors shipping events, updates order status and sends the planned communications in case of deviations or delays.

Anatomy

Six components in every agent we deliver

It is not a clever prompt. It is an architecture, and every piece has a clear role.

Goal & reasoning

Receives a goal, plans the steps and decides on actions with a language model.

Connected to your systems

Connects to the tools your company already uses: CRM, ERP, databases and more.

Memory & context

Keeps session context and long-term history across interactions.

Personality

Tone of voice, role and behavior tailored to each case.

Safety rules

Clearly defines what the agent can and cannot decide on its own.

A record of every decision

Every action is logged, ready for review and audit.

Platform

Built on
Amazon Bedrock AgentCore

The AWS platform for taking agents to production with security, scale and governance, without managing infrastructure.

Why AgentCore

  • Freedom to use the best AI model for each case, without lock-in to a single provider
  • Scales automatically with demand, with no fixed cost for idle servers
  • Access control and action checks against business rules
  • We focus on agent behavior; the platform takes care of the infrastructure

Compatible with frameworks such as LangChain, CrewAI and Strands, and with OpenAI models and Anthropic Claude models.

Services we orchestrate

Automatic scalingScales up and down on its own, based on usageRuntime
Continuous memoryRemembers history across interactionsMemory
System connectionsTurns your APIs into agent toolsGateway
Access controlAgent authentication and permissionsIdentity
TracingMetrics and full history in productionObservability
Safety rulesEnforces business limits on every actionPolicy
Connectivity

Connected to your business systems

The agent connects to the systems your company already uses, with integrations defined for each use case.

Through the MCP protocol (Model Context Protocol).

CRM & ERPSalesforce · SAP · Dynamics
DatabasesRelational databases · Non-relational databases · Data lake
External servicesAPIs / OpenAPI
Internal automationsProprietary logic (AWS Lambda)
Integration catalogMCP standard
SaaS & WebJira · Teams · email · portals
SmartAgent
Reasoning · Memory · Security · Traceability
Orchestrated on Amazon Bedrock AgentCore
Where we start

The starting point is the process, not the technology

Before building a SmartAgent, Aquarela runs an AI Assessment to identify processes with potential operational gains, evaluate technical feasibility, map risks and define the controls needed for a secure rollout.

01

Understanding the context

Analysis of the teams involved, operational goals, existing systems and environment constraints.

Environment overview
02

Process mapping

Identification of repetitive tasks, rule-based decisions, wait points, rework and integration opportunities.

Opportunity list
03

Opportunity prioritization

Assessment of use cases by business impact, technical complexity, data availability, operational risk and potential to scale.

Prioritization matrix
04

Pilot design

Scope of the first agent, required integrations, business rules, governance mechanisms and success metrics.

Pilot plan

At the end of the assessment, the organization receives a prioritized view of the opportunities and the technical and functional design of the first use case to be validated in a pilot.

Schedule the assessment
Get started

Find out where AI agents
can add value to your operation

Talk to the Aquarela team to identify processes that can be automated with security, integration and governance. The work starts with an AI Assessment and progresses to implementing agents connected to your business environment.

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