Automate your business with AI that actually saves time.
We build production-grade AI agents and workflows that connect your tools, reduce operational load, and turn repetitive work into scalable automation — with human-in-the-loop control where it matters.
AI agents that do the work
Email triage, CRM updates, document creation, summaries and customer ops — with clear rules and measurable outcomes.
End-to-end workflows
From lead → qualification → proposal → contract → invoice → reporting. We connect every step across your tools.
Integrations that don’t break
APIs, webhooks, databases, queues and scheduled jobs. Stable automation with retries and observability.
Security & quality control
Human-in-the-loop approvals, PII handling, audit logs, role permissions and safe boundaries for AI decisions.
What we build
The most demanded AI automation services in 2026
We focus on high-impact automations that reduce cost, increase speed, and improve quality. Clear scope, measurable ROI, production reliability.
AI Inbox & Customer Ops
Auto-categorize emails, draft replies, route tickets, update CRM and create tasks. Less chaos. Faster response times.
Sales & Lead Automation
Capture leads, enrich, score, push to CRM, schedule calls, generate proposals and follow-ups — automatically.
Docs & Contracts Automation
Generate offers, contracts, briefs, meeting notes and compliance docs. Versioned templates and approvals included.
Reporting & Decision Dashboards
Daily/weekly exec summaries, KPI dashboards, alerts, anomaly detection and forecast support — delivered to Slack/Email.
Data Pipelines & Sync
Clean data flow between tools: CRM ↔ database ↔ analytics. Deduplication, mapping and validation rules.
Internal Knowledge AI
Company wiki + Q&A. Search, summarize, find the right file, suggest next steps — access-controlled and auditable.
Most wanted automations
Ready-to-deploy AI workflows that sell — and scale
Proven patterns we implement the most. Each one is customizable to your tools, brand voice and process rules — with safety rails and approvals.
AI Sales Agent (Lead → Call booked)
What it does: An agent that responds to inbound leads, qualifies them, answers FAQs and books a meeting — while keeping your CRM perfectly updated.
Implementation example: Lead from website/LinkedIn → AI asks 2–3 qualifying questions → checks calendar availability → books call → creates CRM deal → sends recap + agenda to both sides.
AI Customer Support Triage (Inbox zero)
What it does: Auto-classify messages by intent (billing, technical, cancellation), suggest replies, escalate when needed and generate tasks.
Implementation example: Support email → AI tags priority → drafts response using knowledge base → if refund request routes to finance + requires approval → logs all actions.
AI Document Factory (Offers, contracts, reports)
What it does: Generate consistent documents from structured data — with template control, approvals and automatic sending/storage.
Implementation example: New client in CRM → AI generates proposal + scope → sends for review → after approval generates contract → sends for e-signature → stores PDF and updates status.
Ops Automation (Back-office workflows)
What it does: Automate repetitive operations: invoices, reminders, reconciliation, onboarding/offboarding and internal checklists.
Implementation example: Invoice issued → AI checks payment status → sends reminders → if overdue creates task → if paid posts confirmation to Slack + updates dashboard.
Executive Reporting (Daily AI brief)
What it does: Daily summary of key numbers, risks and actions — built from your real data and delivered to stakeholders.
Implementation example: Every morning 8:30 → AI pulls KPIs → flags anomalies → suggests actions → sends summary to Slack/Email (with links to sources).
Integrations & Orchestration (APIs + reliability)
What it does: Connect tools across the company with robust error handling, retries, idempotency and observability.
Implementation example: Webhooks from systems → orchestration service → queues → retries → audit log → admin dashboard for ops team.
Delivery process
From idea to production — fast, safe, measurable
We build automations like real products: design, reliability, security, monitoring and iteration.
Automation Audit
We map processes, tools and bottlenecks. Then pick quick wins and define measurable KPIs.
Blueprint & Proof
We design the workflow, data model and control points (HITL). Then build a fast prototype.
Production Build
Stable integrations, retries, logs, permissions and security. We ship with tests and monitoring.
Rollout & Optimization
We train the team, monitor performance, iterate prompts/rules and expand automations over time.