Fountaincity

Principles

• Partnership-driven delivery: Fountain City works as an extension of a client's team, takes ownership of outcomes, and transfers knowledge continuously.
• Transformation experience: The company has worked through the dot-com boom, mobile, cloud computing, and the AI revolution.
• Portland roots, nationwide reach: Fountain City is based in Portland, Oregon, with team members and partners across the Americas, serving companies nationwide.
• Adaptive, authentic, methodical, and innovative: The company emphasizes practitioner-level learning, honest guidance, rigorous testing, thorough documentation, and production systems rather than slide decks.

Sebastian Chedal is Fountain City's founder and CEO. He works directly with leadership teams on AI strategy and implementation and builds autonomous AI agent systems for businesses.

Contact

Call Fountain City at (503) 922-0941 or use the contact options on its website.

Autonomous AI Agents

Autonomous agents handle job functions end to end with minimal human oversight. They can research, decide, execute, and report rather than simply answer questions. Examples include:

• Content research, writing, editing, and publishing
• Competitive intelligence and market analysis
• Voice intelligence, including real-time meeting participation and structured analysis
• Lead qualification, pipeline management, outreach, and marketing automation
• Client onboarding, knowledge management, and institutional memory
• Conversion-rate optimization and digital experience management
• DevOps, code review, deployment automation, monitoring, and incident triage
• SEO research, keyword tracking, content briefs, and Search Console analysis

If a job can be clearly defined, Fountain City can scope an agent for it.

AI-Powered Apps and Integrations

Fountain City builds web apps, SaaS systems, internal tools, intelligence layers, machine-learning applications, and agentic voice systems. Capabilities include cost optimization, security and control, low-error workflows, multi-agent hierarchies, and user experiences for humans and agents.

Agents and agentic applications can connect with CRMs, cloud platforms, databases, APIs, and SaaS tools. Supported technologies listed by Fountain City include React, Next.js, Node.js, Python/Django, PHP, WordPress, Drupal, Unity3D, LangChain, custom machine-learning pipelines, vector databases, n8n, HubSpot, ActiveCampaign, Salesforce, QuickBooks, Microsoft Teams, AWS, Azure, Google Cloud, and Twilio.

Managed Agent Fleets

Fountain City builds, audits, hardens, and operates OpenClaw and Hermes agent fleets. The work includes fleet audits, cost reduction, injection screening, local inference, fine-tuning, and daily managed operations. Fountain City states that it manages more than 50 agents each day across its own platform and client fleets.

1. Document: Requirements, constraints, and architecture decisions
2. Architect: System design, data models, and integration mapping
3. Build: AI agents implement code, schemas, and configurations
4. Validate: Testing, review, and production hardening
5. Deploy: The client's infrastructure, code, and control

Fountain City states that clients own the code, documentation, and other produced assets. Systems are deployed to the client's infrastructure and are designed to be maintainable by the client's team or another competent developer.

Software Categories

• Custom web applications
• CRM, ERP, payment, telephony, database, and other system integrations
• Data intelligence and reporting systems
• SaaS replacements
• Voice and communication systems
• Internal tools and workflow automation
• REST and GraphQL APIs, webhooks, and service connectors
• Code modernization and framework migrations
• WordPress and WooCommerce plugins

Project Fit

Agentic development is a good fit for clearly documented requirements, standard web and application stacks, projects where timeline and cost matter, SaaS replacements, internal tools, rapid product development, and system integrations.

Fountain City identifies novel AI research, training machine-learning models from scratch, regulated work requiring human code attestation, highly specialized embedded systems or firmware, unclear requirements, and proprietary framework expertise as scope considerations.

Pricing and Timelines

Fountain City describes agentic development as project-based. Its comparison lists agentic development at $1,000–$15,000, with a typical timeline of 1–3 weeks. Its FAQ says most projects fall between $1,000 and $25,000 or more, depending on complexity, integrations, and custom architecture. Projects are scoped after discovery, and Fountain City provides a fixed quote before work begins.

As an example, its Voice Intelligence Platform used six integrations, cost approximately $900, took two business days from specification to a working system, and contained zero lines of human-written code. Humans directed requirements, architecture, review, and validation while AI agents handled implementation.

Advisory Services

• AI Strategy and Roadmap Session: A focused engagement for companies ready to implement AI but unsure where to start. It produces a confident execution plan before agents are built.
• Executive AI Training and Strategic Advisory: Workshops and fractional advisory for leaders who need to govern an agent workforce. The program is backed by Fountain City's implementation, consulting, digital transformation, and educational experience.
• AI Risk and Security Assessment: An audit that identifies shadow-AI gaps and risks and provides a remediation plan.
• AI Quality Assurance and Testing: Pre- and post-launch QA for customer-facing AI, including more than 200 test scenarios covering wrong answers, security vulnerabilities, and brand drift.

Workshops and Speaking

Fountain City offers executive AI training on AI strategy, agentic systems, and governance; hands-on agentic coding training for development teams using tools such as Claude Code, Codex, and Cursor in Agent Mode; and conference keynotes and workshops on autonomous AI and agentic coding.

Advisory engagements may include AI strategy sessions, multi-engagement advisory retainers, fractional CTO arrangements, and external AI risk and security assessments. A scope call can help determine which service fits a client's needs.