Before
Initial responses take too long
Scattered information makes research and verification slow
Preparation crowds out the time needed for judgment
Move beyond AI tools.
Work with an AI Crew.
We believe AI should be more than a convenient tool. It should join your team as a new colleague.
QueryPie AIP builds task-specific AI agents that understand your workflows and rules. As part of your AI Crew, they autonomously handle research, data organization, drafting, and other preparation so people can focus on judgment and creativity while the whole team accomplishes more.
Let AI handle the preparation, so people can focus on judgment and creativity
Let AI handle pre-decision work so people can focus on what matters most.
After
Clear roles let teams focus on their core work
Final decisions by people
People
Final decisions
Customer communication
Proposals
Planning
Improvement
AI
Research
Organization
First drafts
Analysis preparation
Risk detection
Five steps to adoption, starting small with work that is easy to delegate
We support the entire journey from problem discovery and pilot design to prototyping, production rollout, and continuous improvement.
- Step 01
Workflow discovery
Identify time-consuming work, fragmented data, and tasks to delegate, then locate where work is getting stuck.
- Step 02
Use-case and test design
Define the target team, data, integrations, expected outcomes, and success metrics, starting with work where impact is most likely.
- Step 03
Prototype development
Design the AI role, steps, reference data, and output format around the real workflow and build a hands-on prototype.
- Step 04
PoC and evaluation
Validate answer quality, time savings, and operational fit under conditions close to real work.
- Step 05
Production and expansion
Deploy proven workflows, then expand while strengthening integrations, permissions, and continuous improvement.
QueryPie AIP for secure AI operations
An enterprise AI foundation that supports both the practical performance and governance of autonomous AI agents.
Secure Enterprise AI
QueryPie AIP
The core foundation for AI agent performance and governance
Brain Brain
- Use the best LLM for each type of work
- Internal input data is never used for external training
Connect Connect
- Connect to internal systems under zero-trust principles and understand context
- Strict access control backed by QueryPie expertise
Knowledge Knowledge
- Remember procedures and reduce hallucinations
- Reference trusted company data
Governance Governance
- Enterprise-grade audit logs
- Reduce shadow AI and data leakage risks
Start with the work carrying the heaviest load
Begin where improvement will have the greatest impact, then design around your workflows and operating rules. Start small where results are easiest to see; below are representative use cases we discuss most often.
SEO analysis
MarketingSEO
Support site analysis, prioritize improvements, and build dashboards that make the next action clear.
Quote operations
SalesQuote analysis
Analyze, compare, and prepare quotes while reducing time spent reviewing and transferring information.
Development insights
EngineeringDevOps
Connect Git, PRs, tickets, CI/CD, and incidents to reveal status and risk through conversation.
Data analysis
AnalyticsVisualization
Support data extraction, visualization, and insight development from natural-language questions.
Work collaboration
CollaborationWork automation
Connect Slack, Jira, and Confluence to automate routine coordination and keep information moving across teams.
Security audit
SecurityAudit
Investigate access patterns, detect anomalies, and generate compliance reports through natural-language requests.
Teams feel the speed of execution; leaders see the return on investment
“It feels less like adding another AI tool and more like gaining a new colleague who supports real work.”
Marketing specialist
B2B company
“Initial responses to inquiries became dramatically faster, allowing the team to focus on difficult cases and proactive customer success work where their time matters most.”
Customer support lead
SaaS operations team
“Market data and meeting notes are organized before meetings, greatly reducing the preparation burden on analysts.”
Business planning manager
Growth-stage company
“Rather than changing everything at once, we started small with a single workflow, which made adoption smooth for the frontline team.”
Operations lead
Business support organization
Credits based on work volume, not fixed fees
Pricing is based on how much work AI supports, not headcount. Start with the biggest bottleneck without a large upfront investment.
Use only what you need
Adjust usage around busy and quiet periods for a more efficient operation.
Manage across departments
Share credits across teams and keep rollout costs easy to understand.
Executive guideAI transformationJapan market
Why Japanese Enterprises Are Accelerating Their AI Transformation Now
A concise executive guide to Japan’s AI gap and a practical roadmap for turning AI into enterprise-wide productivity and growth.
Download for freeShall we identify the best workflow to start with?
You do not need a perfectly defined use case. We can work with you from bottleneck discovery through PoC and production rollout.