Shoal AI builds production AI workflow systems for teams whose work depends on judgment, context, and speed. We connect email, CRM, docs, research, calls, internal systems, internet sources, and external data so operators get a review-ready command center instead of another chatbot.
Most teams do not need another chatbot. They need a system that pulls the right context from internal tools, internet sources, and external data feeds, then says what needs attention now: the reply, the deal, the research thread, the blocked task, the stale account, the next message, or the decision waiting on a human.
Shoal maps the operating context, connects the systems, codifies the workflow, and turns repetitive knowledge work into inspectable AI systems with source links, confidence signals, review gates, and clear ownership.
Start with the business outcome: saved analyst hours, faster follow-up, cleaner pipeline, tighter research prep, or fewer missed decisions. We define the workflow, source systems, success metric, and human review point.
We connect internal systems, external data, and internet sources through APIs and MCP, then shape the data into entities, relationships, states, policies, confidence levels, and actions Claude can use reliably.
We ship the first command center in weeks: a priority queue, inbox-to-do workflow, revenue operations view, research brief, internal memory surface, or agent-assisted operating doc.
The first version runs with real work. We tune prompts, data shape, permissions, evaluations, review rules, and output format around the team's judgment and daily rhythm.
Three commitments on every implementation.
The first job is reducing operational load: collect the context, sort the work, show the why, and make the next action obvious before anything runs automatically.
We build around the systems you already use: CRM, Gmail, Notion, Slack, docs, spreadsheets, databases, BI tools, and custom APIs. AI becomes the operating layer that reads from and routes work back to canonical systems.
Each command center exposes source links, confidence, missing data, permissions, escalation paths, and review gates so teams can move from pilot to production with control.
Turn emails into prioritized to-dos, waiting-for lists, agenda items, follow-up drafts, project updates, and review-ready daily operating docs.
See stale deals, high-priority accounts, relationship history, follow-up timing, next messages, handoff notes, and CRM cleanup work in one queue.
Track internet sources, external datasets, entities, companies, calls, transcripts, documents, market context, and open questions into briefs that preserve source links.
Bring customers, projects, owners, decisions, blockers, revenue context, and internal tasks into a daily view of what needs movement.
Build structured knowledge bases from docs, calls, threads, databases, internet sources, external feeds, and decisions so agents can answer with context instead of generic recall.
Use MCP, structured data, external data connections, and agent workflows to summarize, draft, route, update, and escalate with source requirements, permissions, evaluations, and review gates.
Map the highest-value workflow, source systems, permissions, current manual steps, risks, success metric, and first review-ready output.
Build a working AI command center around one workflow with integrations, structured context, Claude prompts, evaluations, source links, and review gates.
Extend the system across adjacent teams, add memory and routing, monitor quality, and turn successful workflows into repeatable internal capabilities.
Pick one workflow with clear pain and measurable value: inbox triage, revenue follow-up, research prep, executive priority context, internal support, or a daily operating answer.
We separate deterministic data assembly from AI reasoning, include source links, run evaluations, expose confidence and missing data, and keep review gates around decisions or actions that need judgment.
A sample daily output, access constraints, the source systems involved, current manual steps, success metric, review owner, and the first workflow you want running.
Start with the highest-friction process: inbox triage, revenue follow-up, support routing, research prep, executive context, team training, or an internal workflow that needs structured context and reviewable action.
