How we build an AI employee around your business.
We study the work, define the role, train it on your approved business knowledge, connect it to your systems, test its controls, and improve it after launch.
- Discover
- Design
- Build & Train
- Integrate
- Deploy
- Operate
From discovery to a working AI employee.
A delivery process built for operations teams, not experiments.
- 01
Discover
We understand how your business works, its processes and data sources, and where an AI employee can create measurable value.
OutputProcess & opportunity map
- 02
Design
We map the workflows the AI employee should own, define success criteria, and set its operating boundaries.
OutputRole & workflow definition
- 03
Build & Train
We build and configure the AI employee, then train it on your approved business knowledge, data, policies, procedures and workflows.
OutputConfigured AI employee + business knowledge
- 04
Integrate
We connect it securely to your existing systems.
OutputConnected systems & tools
- 05
Deploy
We launch with testing, permissions and human escalation.
OutputTested controls & launch readiness
- 06
Operate
We monitor performance and continuously improve the employee.
OutputMonitoring & improvement loop
Connected. Tested. Operating.
What we build together
Your business provides the operating context. WAKELAK turns it into a governed AI employee that can work across your systems.
Your business provides
- Business processes
- Policies and procedures
- Approved business knowledge
- Systems and data access
- Human owners and escalation rules
WAKELAK builds
- AI employee role and instructions
- Business knowledge configuration
- Permissions and operating boundaries
- Workflows and integrations
- Monitoring and evaluation
Before launch
- Testing
- Permissions
- Approval paths
- Integration checks
After launch
- Monitoring
- Evaluation
- Exceptions
- Continuous improvement
Your business remains the source of truth. WAKELAK turns that operating context into a governed AI employee.
How an AI employee operates
The AI employee reasons about the work. A controlled policy and workflow layer enforces permissions, approvals and execution against your business systems.
Once deployed, the employee operates through a controlled reasoning, policy and execution stack.
Customer / trigger
A request arrives on a connected channel.
Phone · WhatsApp · Web · Email · Internal event
AI employee — reasoning layer
Understands intent and chooses the next valid step.
Business knowledge · Memory · Context · Intent · Tool selection
Policy & workflow engine
Checks permissions, approvals and workflow rules.
Permissions · Approval rules · Workflows · Human escalation · Guardrails · Monitoring
Business systems
Reads and writes the authoritative business state.
CRM · ERP · POS · PMS · APIs · Databases · Calendar
Business operation completed
The business outcome is recorded in the system of record.
AI reasons about the next step. Deterministic systems enforce rules and execute critical business actions.
Frequently asked about how we work
What does the process look like?
Six steps: Discover, Design, Build & Train, Integrate, Deploy and Operate. Each step has a defined output, from a process and opportunity map to a monitoring and improvement loop.
What does our business need to provide?
Business processes, policies and procedures, approved business knowledge, access to the relevant systems and data, and the people who own decisions and escalations.
What does WAKELAK build?
The AI employee's role and instructions, its business knowledge configuration, permissions and operating boundaries, workflows and integrations, and monitoring and evaluation.
What if we have no CRM or scheduling system yet?
WAKELAK can design the business systems the AI employee needs in order to work, so the operating layer is built alongside the role.
What happens after launch?
The employee is monitored for accuracy, workflow reliability, exceptions and human interventions, and it is improved continuously.
Where do we start?
Book an AI Employee Workshop: 60 to 90 minutes with your operations and IT stakeholders, one mapped high-volume workflow, and an honest answer on what should and should not be automated.
Ready to build your first AI employee?
We'll map the first workflow, define the right AI employee, and identify the systems, knowledge and controls it needs to operate.