Virtual Assistants
Intelligent Assistants for Every Function
AI-powered assistants that augment your team — from document generation to process optimization. They don't replace your people; they supercharge them.
WHAT ARE VIRTUAL ASSISTANTS
AI That Works Alongside Your Team
Virtual assistants are your team's AI-powered coworkers. They don't replace humans — they make humans more effective. Think of them as expert colleagues who never sleep, never forget, and can process massive amounts of information in seconds.
Need to summarize a 50-page technical spec? Ask your Document Intelligence Assistant. Want to know why Process X takes 3 days instead of 1? Check with your Process Optimization Copilot. Can't remember the decision from last quarter's planning? Your Knowledge Management Bot has it ready. Assistants amplify your team's capabilities without adding headcount.
OUR ASSISTANTS
Three Assistant Types for Every Business Function
Choose the assistant that eliminates your team's biggest time drain.
Document Intelligence Assistant
Generate, summarize, and review technical documents
Your AI-powered document specialist. Reads technical specs, generates reports, summarizes meetings, and creates documentation in minutes — not hours.
Key Features
- Auto-generate technical documentation from requirements
- Summarize long documents into actionable insights
- Review documents for completeness and consistency
- Extract key information and create structured outputs
Common Use Cases
- Meeting minutes and action item extraction
- Technical specification generation
- Requirement document reviews
- Proposal and report writing
Process Optimization Copilot
Analyze workflows, identify bottlenecks, monitor KPIs
Your AI process analyst. Continuously monitors your workflows, identifies inefficiencies, tracks KPIs, and suggests improvements based on data.
Key Features
- Workflow analysis and bottleneck identification
- KPI tracking and anomaly detection
- Process improvement recommendations
- Visual dashboards and insight reports
Common Use Cases
- Process cycle time optimization
- Resource utilization analysis
- Quality metrics monitoring
- Continuous improvement initiatives
Knowledge Management Bot
Your team's always-available company knowledge expert
Trained on your company's documentation, processes, and tribal knowledge. Answers questions instantly, helps onboard new team members, and surfaces relevant information when needed.
Key Features
- Natural language Q&A on company knowledge
- Instant search across all documentation
- Onboarding assistance for new employees
- Context-aware recommendations
Common Use Cases
- Employee onboarding and training
- Internal knowledge base assistant
- Process and policy guidance
- Historical decision and project lookup
IMPLEMENTATION
From Concept to Deployment in 4-8 Weeks
MEASURE
Identify use cases, map data sources, define success metrics
1-2 weeks
ANALYZE
Prioritize assistants by impact, prepare training data
1 week
PROTOTYPE
Build POC, train on your data, validate with real users
1-3 weeks
SCALE
Production rollout, team training, adoption tracking
2-4 weeks
Total: 4-8 weeks from assessment to full team adoption.
Investment & ROI
Assistant Development
One-time cost per assistant. Includes data preparation, training, testing, and deployment.
Ongoing Costs
Hosting, API usage, updates, and continuous training.
Typical ROI: 5-10 hours saved per person per week. For a 10-person team, that's 200-400 hours/month reclaimed for strategic work.
Who This Is For
FAQ
Common Questions About Virtual Assistants
How are virtual assistants different from AI agents?
Agents work autonomously and replace tasks (e.g., automatically process invoices). Assistants augment humans and help with tasks (e.g., help you write faster, find information quicker). Assistants require human oversight; agents run independently.
Can assistants integrate with our existing tools?
Yes. Assistants integrate with Slack, Microsoft Teams, SharePoint, Confluence, and more. They can read from your systems, answer questions based on your data, and post summaries or alerts where your team already works.
How long does it take to deploy an assistant?
Simpler than agents: 1-2 weeks for requirements and data preparation, 1-3 weeks for training and testing, then 2-4 weeks for rollout and team adoption. Total: 4-8 weeks from start to full deployment.
How much does a virtual assistant cost?
Assistant development cost depends on complexity and data sources. ROI typically comes from time savings (e.g., 5-10 hours saved per person per week).
What data do assistants need to train on?
They learn from your existing documentation: process guides, technical specs, wikis, meeting notes, and historical decisions. We help you organize and prepare this data during the Measure and Analyze phases of M.A.P.S.
Ready to Supercharge Your Team?
Book a free 20-minute assessment. We'll identify where virtual assistants can save your team the most time.
Book Free Assessment