siasola AI Automation: custom AI agents for your business

What is siasola AI?

What our clients are saying

Manon DumasPresident, ARIANNE Relocation CanadaGlobal Mobility Top 100 Innovators
Issued by Benivo, Dec 2022

Workflow Automation

“Before Siasola, we spent 10 to 15 hours per week manually updating HubSpot, Notion, Mailjet, and QuickBooks. It was repetitive work that held our team back. Siasola built custom AI automation that connects our CRM, email marketing, accounting, and internal tools into one workflow. Now data syncs automatically, follow-ups trigger on their own, and reporting stays consistent across every platform. We've eliminated most duplicate data entry and significantly reduced errors. For businesses looking to automate their operations with AI, Siasola delivers practical, measurable results.”

Joshua RosenbaumPartner & Managing Director, Neuf CinqWinner of 2025 Short Film Jury Award: International Fiction
Sundance Film Festival

Custom App Development

“Siasola built Orson, a custom production management app for Neuf Cinq, designed around how our film projects actually run, not an off-the-shelf tool. In production, everything moves fast: crew schedules, documents, compliance requirements, and logistics across multiple shoots. We needed a secure, centralized platform to replace scattered files and manual coordination. As the app takes shape, it's clear it will give our team the visibility and oversight we want. For production companies or businesses that need custom software development tailored to their operations, Siasola delivers AI-native technical expertise and dependable execution.”

Véronique DussaultCreative Director, Experiential & Live Events

Cirque du Soleil (15 years), C2 Montréal, Efactor

Custom Workflow Automation

“I've spent close to 20 years creating and directing live shows and brand experiences around the world, where one missed update can ripple through crews, vendors, travel, and budgets in minutes. Cirque du Soleil, C2 Montréal, FIFA, Van Cleef & Arpels. Before Siasola, we were always fighting the same problem: information decay. By the time a spreadsheet hit the team, it was already wrong. People were working off different versions, and someone always had to chase the truth. Siasola ended that. Schedules, call sheets, and production documents stay accurate and aligned without manual follow-ups. Across multiple countries and time zones, it changes the entire pace of production. Less firefighting. More control. And finally, a workflow that matches real production.”

siasola AI Services: What We Build for You

Custom AI Agents

Purpose-built agents that handle repetitive work so your team does not have to. Customer replies, data processing, internal ops: handled.

End-to-End Automation

We connect your tools and automate entire workflows. Less manual handoff, fewer errors, faster turnaround.

Data You Can Act On

Custom dashboards and automated reporting that surface the metrics that drive decisions.

Ongoing Support

Every engagement includes monitoring, tuning, and support so your automation keeps delivering long after launch.

Claude-native architecture

Built on Claude by Anthropic with Model Context Protocol for real-time tool access, multi-agent orchestration, and Constitutional AI safety. The foundation behind every agent we deploy.

How we implement Claude for your business

Every siasola AI engagement is built on Claude by Anthropic. Here is how we deploy Claude's capabilities into your operations.

Every capability above is deployed in production across our own projects before we bring it to clients.

Tool integration with MCP

Claude connects to your business tools through Model Context Protocol servers. CRM data from Salesforce or HubSpot, database records, communication platforms, internal APIs: Claude accesses them directly during reasoning instead of working from stale exports. We build custom MCP servers for each client so Claude operates with real-time context from your actual systems.

Purpose-built tools

We build tools that Claude calls autonomously during task execution. Each tool handles a specific operation in your business: updating a CRM record, generating a formatted report, triggering a notification, running a validation check. Claude decides which tool to use and when, based on the task at hand.

Quality gates and automation triggers

Every action Claude takes can pass through pre-execution and post-execution hooks. Before a change ships, automated checks validate formatting, enforce business rules, and flag exceptions. After execution, hooks trigger notifications, update audit logs, and cascade follow-up actions without manual review.

Specialized agent teams

Complex workflows run across multiple agents, each with a defined role. One agent handles intake and classification, another processes data, a third generates outputs. Agents work in parallel when tasks are independent and hand off sequentially when dependencies exist.

Right model for every task

Not every task needs the same level of reasoning. We route complex analysis and architectural decisions to Claude Opus, balanced production work to Sonnet, and fast high-volume operations to Haiku. This keeps costs proportional to task complexity while maintaining quality where it matters.

Agents that learn

Insights from each agent session are captured in persistent knowledge bases. Patterns, decisions, and domain context carry forward across sessions and projects. Agents start each task with relevant accumulated knowledge instead of starting from scratch.

Safety and governance built in

Claude's Constitutional AI architecture provides responsible outputs by design. Every agent action produces an audit trail. Role-based access controls restrict what each agent can read and modify, and constraint checking runs before changes to shared infrastructure.

Our Claude development pipeline

We use Claude at production scale across nine active projects. This is not a proof of concept. The same architecture, tooling, and methodology we use internally is what we deliver to clients.

This is the same infrastructure that powers client engagements.

Structured phases with clear deliverables

Every project moves through defined phases: discovery, research, planning, execution, and verification. Each phase produces specific deliverables and captures decisions before the next phase begins. This prevents scope creep and ensures alignment at every stage.

17+ specialized agents

Our internal pipeline runs 17 specialized agents: planners that scope work, executors that build, verifiers that validate outcomes, debuggers that diagnose failures, and researchers that gather context. Each agent has defined expertise, operating constraints, and measurable deliverables. They coordinate in parallel or sequentially depending on task dependencies.

Multi-source knowledge loading

At the start of every session, agents load context from multiple sources: eight domain-specific knowledge notebooks, real-time library documentation via MCP, persistent session state, and cross-project decision history. This eliminates the cold-start problem. Agents begin every task with the full context they need.

Cross-project coordination

Our pipeline manages nine active projects with shared infrastructure. Constraint checking prevents one project from breaking another. Knowledge captured in one project feeds into others automatically.

Goal-backward verification

Verification validates outcomes, not just task completion. Each phase has success criteria that must be demonstrated with evidence before the phase is marked complete. This catches drift between what was planned and what was actually delivered.

Atomic execution with knowledge capture

Every task produces a single atomic commit with a full audit trail. Every insight discovered during execution is captured back into the knowledge base for future agents. Solved once, available everywhere.

How It Works

Pricing

Every engagement starts with a free discovery call.

Frequently asked questions