01
Operating-model design
Prioritize workflows by value, feasibility, risk, data readiness, and the quality of the existing process.
AI enablement + managed operations
AVOS is the system. We make it work in your business.
SaaS Factory licenses AVOS and pairs it with experienced AI developers and operators. We map the work, connect the systems and data, deploy agentic workflows, govern the exceptions, and optimize the operation over time.
Beyond the license
Implementation starts with the work.
AI becomes useful when it can reach the right data, handle the workflow reliably, and escalate decisions to accountable people.
01
Workflow truth
We map how the business actually works, including handoffs, exceptions, shadow systems, judgment calls, and failure points.
02
Connected context
Agents need controlled access to the systems, knowledge, policies, and structured data that make their work useful.
03
Operational ownership
We establish monitoring, evaluation, human escalation, change management, and a process for ongoing improvement.
AVOS
AVOS implementation and operations
Configure AVOS around your people, systems, and controls.
AVOS provides the agentic venture operating system. SaaS Factory provides the business analysis, integrations, AI engineering, governance, and ongoing operating capacity needed to run it reliably.
AVOS is a separate product and brand. SaaS Factory is a licensee that implements and helps operate AVOS in client environments.
Explore AVOSWhat we implement
Systems, controls, and integrations for production use.
02
Agents & automations
Design agent roles, prompts, tools, memory, decision boundaries, and human approval paths.
03
Systems integration
Connect CRM, email, calendars, support, finance, data warehouses, internal knowledge, and line-of-business systems.
04
Evaluation & governance
Define quality standards, test scenarios, permissions, logs, controls, escalation rules, and acceptable failure modes.
05
Operator experience
Build the interfaces, queues, alerts, context, and training that let people supervise and collaborate with AI effectively.
06
Managed optimization
Monitor outcomes, diagnose drift and bottlenecks, refine workflows, and expand the system as the business learns.
Operating journey
From assessment through ongoing operations.
Find the best starting point
Map work, data, systems, constraints, and the business case for each candidate workflow.
Build the operating system
Define agent responsibilities, human controls, integrations, metrics, and rollout sequence.
Move into production
Implement, test, train the team, launch with guardrails, and establish monitoring and support.
Improve what works
Own exceptions, tune performance, expand successful workflows, and remove ineffective ones.
Good starting points
Start with work that happens often and has a measurable cost.
01
Revenue operations
Research, qualification, account intelligence, follow-up, CRM hygiene, proposals, and pipeline analysis.
02
Customer operations
Support triage, response drafting, knowledge retrieval, case routing, quality review, and proactive communication.
03
Back-office workflows
Document handling, reporting, reconciliation, approvals, research, scheduling, and internal service requests.
04
Decision support
Continuous synthesis of operational signals, exceptions, forecasts, and recommended actions for human leaders.
Put AI to work on a specific operating problem.
We start by identifying lost time, delayed decisions, inconsistent quality, and the value of a better process.