01
Manual follow-ups
Leads, reminders, approvals, and handoffs stall because somebody still has to push the next step.
We help businesses identify repetitive work, design AI-powered workflows, build custom AI agents, and hand them over to your team.
From workflow audit to production handoff, the work stays practical and hands-on.
Live Runbook
`opshands audit --team operations`
Step 01
Scores leads, drafts replies, and pushes clean CRM updates.
Step 02
Prepares context and escalates only the exceptions.
Step 03
Summarizes movement and drafts stakeholder updates.
Problem
We help you find the exact workflows where AI agents can save time, reduce manual effort, and improve execution.
Audit lens
We start with the friction, handoffs, and repetitive work already costing your team attention.
01
Leads, reminders, approvals, and handoffs stall because somebody still has to push the next step.
02
Critical work lives across inboxes, spreadsheets, CRMs, Slack threads, and disconnected dashboards.
03
Teams spend too much time answering repeat questions, chasing context, and routing routine cases.
04
Hours disappear into status updates, manual summaries, copy-paste tasks, and recurring admin work.
How We Work
The workflow is intentionally simple: understand the bottleneck, validate the shape of the solution, then ship a production-ready system.
Our forward-deployed engineer studies your workflows, tools, team process, and repetitive tasks to identify where AI agents or automations can create real value.
We map the solution path, choose the right workflow shape, and show a working demo or prototype before a full build starts.
Once approved, our solution architects and developers build, deploy, monitor, and maintain the agents and automations for your business.
Services
Built for teams that need operational leverage, not generic strategy decks.
Delivery model
Strategy only is not the offer. The work includes prototyping, implementation, and iteration.
Identify automation opportunities across sales, support, operations, reporting, and product workflows.
Build AI agents that can reason, use tools, follow workflows, and complete business tasks.
Custom chatbots, internal knowledge assistants, document assistants, lead assistants, and support copilots.
Connect CRMs, WhatsApp, Slack, email, spreadsheets, dashboards, forms, and internal tools.
Turn AI ideas into working demos and MVPs for startups and business teams.
Human QA and launch-readiness testing for AI-built products, MVPs, and startup software.
Use Cases
We focus on workflow-heavy environments where speed, accuracy, and handoffs matter.
AI lead qualification, WhatsApp follow-up, CRM updates, listing content, and client reminders.
Document collection, client onboarding, status updates, and FAQ automation.
Appointment reminders, customer FAQs, intake forms, and follow-up workflows.
Internal copilots, support agents, QA workflows, and product launch testing.
Client reporting, lead intake, proposal drafting, and campaign analysis.
Free AI Audit
The audit is designed to show where AI agents and automation can reduce manual work first, without forcing you into a vague strategy project.
Best next step
Start with one workflow, rank the opportunities clearly, then decide whether a prototype or production build is justified.
We map how sales, support, operations, reporting, and admin work moves today so your team can see where effort gets stuck.
We identify repeat tasks, handoffs, and approval loops that consume operator time every week.
We highlight where AI agents, workflow automation, or simpler rule-based tools can create real leverage.
We rank ideas by business value, risk, implementation complexity, and likely speed to impact.
You get practical suggestions for custom agents, supporting tools, and where human approval should stay in the loop.
If the use case is strong, we outline what a sensible prototype or first deployment could look like.
Engineering Credibility
Open-source projects we work with and follow. This reflects ecosystems our team studies, uses, contributes to, or builds around.
Visual tooling for building LLM apps, multi-step flows, and AI agent workflows.
View on GitHubAn open platform for AI software agents that can execute developer tasks.
View on GitHubAgent experimentation around browser and computer-use workflows in the AgentScope ecosystem.
View on GitHubComputer-use and UI automation work that informs practical agent deployment patterns.
View on GitHubA framework for building multi-agent applications with orchestration and evaluation primitives.
View on GitHubAn MCP server integration that reflects the expanding tool ecosystem around operational agents.
View on GitHubAn open-source AI employee project focused on executing work across real-world tools.
View on GitHubBook AI Gap Audit
If your team is stuck between AI ideas and actual deployment, OpsHands helps you turn messy operations into scoped, buildable systems.