AI Agents for Enterprise
We design, integrate, and continuously improve multi-agent systems that automate the operational work an enterprise actually runs on — sales pipelines, supply-chain decisions, content production, financial reconciliation, customer support. Live at 10+ clients across 6 industries today.
What we build
We don't ship single-task bots. We ship coordinated agent teams: each specialized in one part of the workflow, orchestrated by a central FlowMaster, hardened for production with logging, retries, and human-in-the-loop overrides.
Brief analysis · creator-campaign matching · pricing · negotiation strategy · contract generation · CFO approval routing.
Production timeline tracking · content validation · proactive bottleneck detection · escalation routing · cross-team handoffs.
NLP-driven channel routing · contextual reply drafting · approval flows · notification orchestration · conversation memory.
OCR on screenshots · cross-platform metric normalization · anomaly detection · automated report generation tailored to audience.
CFDI / fiscal document extraction · expiry tracking · automated reminders · cross-document consistency checks (RFC, name, CLABE).
Automatic commission calc · ISR/IVA withholding · payment order generation · cash-flow projection · discrepancy detection.
How they interact
A central orchestrator routes requests to specialized agents based on intent, manages context across the workflow, runs parallel and sequential coordination patterns, and falls back to human operators when confidence drops.
Reference architecture from a live deployment. Same pattern adapted per client; agents are added or removed based on workflow scope.
Where we ship
The agent stack is industry-agnostic. The agents themselves are tuned to the workflows of each domain. Here's the diversity of what we have shipped.
4-agent MVP for experiential marketing agency: brief analyzer, creative planner assistant, financial viability, time governance.
14-agent integral system: creator affiliation, document validation, profiling, sales pipeline, execution, metrics, reports, financial.
Intelligent S&OP system: demand forecasting, inventory optimization, supplier coordination, exception management.
Productized agent system with Manager Agent + Co-CEO concept. Facebook Agentic AI, Google Ads integration. Live with iterating user feedback.
AI program: agents, roadmaps, governance for a digital-first capital firm.
4-agent MVP: industrial parts distribution for hospitality. Quoting, inventory, supplier comms, customer service.
Hospitality agents for design-cabin glamping operator: reservations, guest experience, ops coordination.
Auto dealership agents: lead qualification, scheduling, follow-up, finance pre-screening.
Agent suite for personal brand operator: content production, scheduling, audience engagement, course operations.
Agent documentation and operational system for manufacturing client.
Featured case study
A scaling podcast-influencer agency had Booster as a CRM and a small ops team running creator affiliation, document compliance, sales pipeline, campaign execution, metrics extraction from screenshots, and creator payments — all manually, all bottlenecked on people.
An end-to-end multi-agent system on Google Cloud. Central FlowMaster (Claude Sonnet 4.5) orchestrates 14 specialized agents across creator management (affiliation, document validation, profiling), sales pipeline (sales, negotiation, matching), execution (production tracking, content validation, coordination), reporting (metrics OCR extraction, automated reports, analysis), and finance (commissions, ISR/IVA withholding, payment orders). Native CRM replaces Booster. WhatsApp Business API as the primary communication channel. DocuSign for contracts. Cloud Pub/Sub event bus for asynchronous coordination.
Sonoro now operates with the team focused on relationships and growth, while the agent system runs the operational backbone 24/7. Every creator's earnings, document status, and campaign performance is visible in real time. Reports generate automatically at days 15 and 30 post-publication. ROI projected positive in 6–8 months.
An experiential marketing agency burning hours on the same upstream work for every brief: extracting strategic intent, producing first-draft creative concepts, running viability math, and coordinating who works on what within the available time budget. The intelligent work was buried under repetitive prep.
A focused 4-agent MVP, rolled out in sequence. (1) Brief Analyzer — extracts strategic intent, target, KPIs, constraints. (2) Creative Planner Assistant — drafts concept directions with rationale. (3) Financial Viability — runs cost/margin scenarios so leads land profitable. (4) Operational Time Governance — keeps the team from over-committing relative to capacity.
The agency's creative leadership now spends time on judgment calls rather than prep. The system has continuous-feedback hooks so each brief makes the next one better. Tight scope discipline (4 agents, not 14) made it shippable in months and easy to extend.
A media network needed to scale operational decision-making across paid acquisition, content distribution, and partner management without proportionally scaling headcount. Each domain had its own specialist tools but no integrating layer.
A Manager Agent that operates as a "Co-CEO" — coordinates across Facebook Agentic AI for paid acquisition, Google Ads integration for performance management, content distribution agents, and partner-facing operations. Layered guides for end-users, an executive feedback channel, and a published roadmap of improvements.
The system has been live since late 2025 with monthly feedback cycles and shipped improvements. The pattern is productizing — the same Manager Agent shape can be redeployed to other media operators with minimal customization.
How we work
We map the workflows where agents will live. We identify the 3–5 highest-leverage agent roles. We define an MVP scope that ships in months, not quarters. No agents we cannot defend.
We design the orchestration, build the agent stack on cloud-native infrastructure (GCP-first), integrate channels (WhatsApp / Email / internal tools), and deploy with full logging, retries, and human-in-the-loop overrides.
Monthly feedback cycles. Performance tuning. Add agents as the workflow expands. Documentation handover so the client team can own iteration. Optional managed-operation tier.
A 30-minute discovery call. No deck. We'll listen, we'll tell you whether agents make sense for your case, and we'll be honest if they don't.