AI Digital Employee / Solution Builder
Turn expert business methods into reusable, schedulable, and executable AI skills and solutions.
AskTable provides a mature methodology and tools to help enterprises distill their own business experience into digital employees. Experts capture methods, teams configure skills, combine them into industry solutions, and agents execute and improve on schedule.
Distill expert experience first, then train a digital employee that keeps executing.
Break down expertise
Turn how top performers judge, which metrics they check, how they drill down, and how they handle exceptions into clear steps.
Configure skills and solutions
Visually combine data models, metrics, rules, prompts, schedules, and output templates.
Let agents run on schedule
Agents generate reports, plans, alerts, and follow-ups daily, weekly, monthly, or when business events happen.
Review and improve
Every run leaves process and results, so business teams can tune rules and examples and make the digital employee more business-aware.
Buildable digital employee examples
These are co-creatable industry solution examples, not claims that every one is already a standardized package. Start with one frequent and valuable scenario.
Retail / E-commerce: 8 buildable examples
- Member SMS outreach: identify reactivation, repurchase, and dormant members every day, then generate audience lists, messages, and send plans.
- Ad performance review: review ROI, conversion, spend anomalies by product, channel, campaign, and keyword, then suggest budget changes.
- Product operations analysis: identify best sellers, slow movers, margin drops, and sell-through anomalies, then recommend actions.
- Store daily report: summarize sales, average order value, conversion, refunds, inventory, and ads every day.
- Inventory and replenishment alerts: combine sales, inventory, in-transit stock, and campaign plans to prioritize stockout and overstock risks.
- Mega-campaign review: analyze traffic, conversion, AOV, profit, inventory, and member growth after campaigns to inform the next campaign.
- Member repurchase analysis: identify high-value members, churn-risk members, and repurchase interval changes, then suggest segmented operations.
- Channel comparison: compare Tmall, JD, Douyin, Xiaohongshu, and private traffic to locate growth and loss sources.
Chain restaurant / milk tea: 6 buildable examples
- Store daily report: automatically generate daily reports on sales, traffic, AOV, delivery, pickup, dine-in, and refunds.
- Dish / SKU sell-through: identify hot items, slow movers, margin anomalies, and regional preference changes, then suggest launch, delist, or bundle actions.
- Member repurchase and reactivation: identify who has not returned, what categories they prefer, and which coupon package fits.
- Store exception monitoring: monitor sudden sales drops, refund anomalies, AOV anomalies, and rising delivery complaints, then remind regional managers.
- Staffing and stocking suggestions: combine historical traffic, weather, holidays, and campaigns to suggest prep quantities and staff schedules.
- Campaign review: review second-cup discounts, coupons, new product tastings, and delivery platform campaigns to decide whether to continue investment.
Example: member SMS outreach digital employee.
It does not simply send messages. It codifies an operator’s process: identify the audience, generate content and plans, then review ROI and repurchase impact after execution.
Identify audience and timing
Segment users by purchase behavior, browsing, repurchase cycle, city, category preference, and campaign inventory.
Generate the outreach plan
Combine campaign goals, budget, inventory, and historical conversion to create cadence, copy, offer strategy, and execution plans.
Review and capture learning
Track delivery, clicks, conversion, repurchase, and unsubscribes, then turn outcomes into next-round rules and suggestions.
The page explains how digital employees are built, executed, and improved.
Skill Builder
Capture workflows, analysis steps, judgement rules, and output templates through configuration.
Solution Builder
Combine multiple skills into complete role-based or scenario-based solutions.
Scheduled execution
Run agents on schedules or business events to create reports, plans, alerts, and reviews.
Data and permission constraints
Execution is grounded in DigTable models and AskTable permissions to avoid overreach and drifting definitions.
Reviewable results
Keep inputs, process, outputs, and business feedback for every run so the system can improve.
Scenario co-creation
Start with one frequent, valuable scenario and turn customer expertise into reusable capability.