AI agents that take repetitive work off your team’s plate
Reports, follow-ups, data checks, and task routing repeat every week.
We build AI agents that handle them inside your real business workflows.
35+
AI Workflows Automated
8
Core Use Cases Covered
68%
Manual Step Reduction
1.5 w
Agent Prototype Timeline
Custom AI Agent Development
Business oriented
AI agent development
No generic chatbot sitting on top of your website. No disconnected AI experiment that nobody uses after launch. Just practical AI agents connected to your tools, data, workflows, and business logic.
AI Agent Problems We Fix
Reports still built manually every week?
We build AI reporting agents that collect data, summarize updates, and deliver recurring reports automatically.
Follow-ups keep slipping through the cracks?
AI agents track next steps, remind owners, and keep sales, client, and internal workflows moving.
Too many repetitive internal tasks?
We automate task creation, status checks, data entry, meeting notes, and recurring team updates.
Your team copies data between tools?
AI agents connect your CRM, spreadsheets, Slack, ClickUp, Notion, email, and dashboards.
Need faster client or lead response?
We build agents that qualify requests, summarize context, route leads, and prepare replies faster.
AI tools are used, but not operationalized?
We turn manual AI usage into repeatable workflows with rules, context, integrations, and QA.
No visibility into what is stuck?
AI agents monitor workflows, detect blockers, and surface tasks that need attention.
Manual reporting slows decisions down?
AI agents generate summaries, flag changes, and highlight key metrics before delays happen.
Automation tools are not flexible enough?
We build custom AI agents that follow business logic, use tools, and adapt to real workflows.
Full-service AI Agent Development
Whatever keeps coming back every week - we build the agent that handles it automatically.
AI Agent Strategy & Use Case Mapping
The right agent starts with the right workflow. We map repetitive tasks, handoffs, decision points, tools, data sources, and business rules to define what should be automated first.
Workflow & Process Automation
Recurring workflows become structured agent logic: inputs are checked, outputs are prepared, tools are updated, and exceptions are routed to the right person.
Internal Operations Agents
Internal operations move faster when agents handle the small steps. Status updates, meeting notes, task creation, reminders, and daily workflow checks stay consistent without manual chasing.
Reporting & Analytics Agents
Performance updates no longer need to wait for manual preparation. Agents collect data, summarize changes, flag anomalies, and send clear reports to the right teams.
Sales & CRM Agents
Sales teams get cleaner handoffs and fewer missed next steps. Agents prepare lead summaries, update CRM fields, check pipeline movement, and surface follow-up actions.
Support & Knowledge Base Agents
Answers become easier to find across SOPs, policies, product docs, and support materials. Agents help users resolve common questions and escalate the cases that need human input.
API, CRM & Tool Integrations
Agents work best when they are connected to the systems your team already uses. We integrate CRMs, dashboards, internal tools, Google Workspace, Slack, Notion, and third-party APIs.
AI Governance, QA & Monitoring
Reliable automation needs clear boundaries. We set permissions, review points, fallback logic, testing flows, monitoring, and documentation before the agent becomes part of daily operations.
How We Work
Discovery & Workflow Audit
- Business goals and automation priorities
- Repetitive task and workflow mapping
- Tool, data source, and process audit
- User roles, permissions, and escalation logic
- AI agent opportunity roadmap
Agent Design & Architecture
- Agent behavior and workflow logic
- Prompt structure and response rules
- Human-in-the-loop review points
- Data source and integration planning
- Technical specification for development
Prototype & Integration
- AI agent prototype development
- Connection to CRM, Slack, email, dashboards, or internal tools
- Automated task, report, or follow-up flow setup
- Test environment configuration
- First working version for team review
QA, Testing & Refinement
- Output accuracy testing
- Edge case and exception handling
- Permission and access checks
- Workflow reliability testing
- Prompt, logic, and integration improvements
Launch & Handover
- Production deployment
- Team training and usage documentation
- Monitoring and performance review
- Post-launch improvements
- Ongoing development retainer available
Case Studies
Results that Compound
Built ML that Underwrites a Mortgage in Seconds
Two Canadian banks were issuing mortgages in weeks. We built the ML system that automated underwriting end to end.
In Their Words
We’ll build the AI agent that handles reports, follow-ups, task updates, and internal workflows for you.
Got repetitive work your team should not be doing manually?
Industries We Build For
We build AI agents for teams that need faster reporting, cleaner workflows, and less repetitive manual work.
Financial Services
AI agents for reporting, compliance workflows, client updates, internal task routing, document summaries, and operational processes where accuracy and permissions matter.
SaaS & Software
AI agents for onboarding, product support, customer success workflows, sales follow-ups, churn signals, internal documentation, and recurring team operations.
Real Estate & PropTech
Automation for lead qualification, listing updates, broker follow-ups, client communication, property data workflows, and internal reporting.
Rentals & Property Management
AI agents for booking operations, availability checks, client follow-ups, recurring reports, maintenance workflows, and team coordination across multiple properties or locations.
Crypto & Web3
AI agents for community operations, user support, internal reporting, documentation workflows, lead tracking, and product operations across fast-moving teams.
E-commerce & DTC
Automation for customer support, order workflows, product data updates, campaign reporting, inventory checks, CRM follow-ups, and retention operations.
Healthcare & MedTech
AI agents for internal admin workflows, patient communication support, reporting, documentation summaries, and structured operational processes with careful review logic.
Professional Services
AI agents for agencies, consultancies, legal teams, accounting firms, and service businesses that need better reporting, follow-ups, task management, and internal workflow automation.
Education & EdTech
Automation for student communication, admissions workflows, internal support, course operations, reporting, and knowledge base assistance.
Why Now
Every week without automation means your team keeps spending time on work that could already be handled by an AI agent.
Repetitive work compounds quietly
Manual reporting, follow-ups, data entry, and task updates may look small individually, but together they take hours from the people who should be solving higher-value problems.
Your competitors are already using AI operationally
AI is moving from experimentation to execution. The teams getting value are not just using AI tools manually - they are embedding AI agents into daily workflows.
Your team needs systems, not more tabs
When work lives across too many tools, people spend more time checking, copying, and updating than deciding. AI agents help connect the workflow instead of adding another disconnected platform.
Slow follow-ups cost opportunities
Leads, clients, internal approvals, and team requests all lose momentum when nobody owns the next step. AI agents keep track of what needs to happen next.
Automation gets harder the longer you wait
The more manual processes grow, the harder they become to untangle. Building AI workflows early gives your team cleaner systems before operational complexity turns into a bottleneck.
Tell us what you need -
we'll take it from there
No commitment required to start. Tell us what your team repeats every week, which tools you use, and where work slows down. We’ll identify what can be automated, what should stay human-led, and what kind of AI agent makes sense for your business.
Book a Strategy Call
Frequently Asked Questions
Questions, Answered
What kind of AI agents do you build?
We build custom AI agents for reporting, follow-ups, CRM updates, task management, internal operations, support workflows, knowledge bases, sales processes, and business process automation.
Can an AI agent work with our existing tools?
Yes. We can connect AI agents to tools like CRM systems, Slack, Google Workspace, ClickUp, Notion, Airtable, dashboards, internal platforms, and third-party APIs.
Do you build chatbots or real workflow agents?
We can build both, but the focus is usually on workflow agents. That means the agent does not just answer questions — it can check information, prepare outputs, update tools, trigger next steps, and support business processes.
How long does it take to build an AI agent?
A simple AI agent prototype can often be built in 1–2 weeks. More complex agents with integrations, permissions, data workflows, and testing usually take several weeks depending on scope.
How much does AI agent development cost?
Cost depends on the workflow complexity, number of integrations, data sources, security requirements, and whether you need a prototype, production agent, or ongoing development support.
Do you use AI safely in business workflows?
Yes. We design AI agents with clear rules, human review points, permissions, fallback logic, testing, and monitoring, especially when the workflow involves clients, sensitive data, or important business decisions.
Can you automate reporting with AI agents?
Yes. We build AI reporting agents that collect data, summarize performance, highlight changes, prepare recurring updates, and send reports to the right people or channels.
What happens after the AI agent launches?
We can provide monitoring, improvements, workflow adjustments, new integrations, documentation updates, and ongoing support as your team starts using the agent in real operations.
How do we know which AI agent we need first?
We start by reviewing your repetitive tasks, tools, workflows, and bottlenecks. Then we identify the highest-impact use case - the one that can save time, reduce manual work, or improve visibility fastest.