AppGrid AI - Enterprise query technology
Every enterprise is asking right now: how do we deploy AI to make our people more effective, more efficient and more productive?
AppGrid AI is the answer. It's an add-on to your existing AppGrid install — no new platform to procure, no new admin to train, no Slack rollout prerequisite. It shows up exactly where your team already works: in the grid, on the views your admin already curated, on the workflows that matter.
AppGrid AI understands your business vocabulary and your unique salesforce data model. Think of AppGrid AI as an intelligent assistant that helps your users execute their workflows faster.
AI is all the hype these days, and you may be wondering why AppGrid AI was developed and how is it different from the Salesforce AI offerings.
Agentforce vs AppGrid AI
Agentforce is primarily an AI-powered workflow and business process automation platform. An admin defines specific capabilities — "look up a case by case number," "process a return," "verify a customer's identity" — by configuring subagents, topics, flows, templates, object/field mappings, etc. Once that work is done, end users can invoke those pre-defined capabilities in conversation.
Agentforce is well-suited to customer-facing service automation: high-volume, repetitive scenarios where the same handful of interactions happen many times, and the admin time spent pre-configuring them is amortized across millions of conversations. The chat-based interfaces of Agentforce and Agentforce CoWorker are not optimal for data-intensive business processeses.
AppGrid AI is built for the opposite scenario: internal users asking open-ended, unstructured questions about their data. The questions aren't repetitive — they vary by person, by role, by workflow, etc. Pre-defining every possible question shape isn't realistic. AppGrid AI takes a different approach: the AI interprets the user's question in real time, generates a Salesforce query that answers it, executes that query under the user's existing permissions and shows the results in the grid where it's immediately operable.
AppGrid AI also answers questions that involve analysis and comparisons of data. In this case, the response is an intelligent summary based on the underlying data similar to the responses you might receive from Agentforce, ChatGPT, Gemini or Claude. Analysis and comparisons are most accurate when performed against selected records.
The practical difference: with Agentforce, an admin pre-defines the capabilities available to the AI. With AppGrid AI, the AI dynamically determines how to answer each question.
Both tools have their place. Agentforce excels at scripted customer interactions; AppGrid AI excels at ad-hoc internal data exploration and analysis. Most orgs benefit from both — they're not competitors, they're complementary tools for different jobs.
AppGrid is designed for data intensive business processes
Salesforce has bet on Slack and Agentforce as the surface where users meet AI. That bet works for a user who consumes CRM in short, episodic chats — "what's the status of Acme?", "draft a follow-up to Tom."
For users with data intensive workflows, chat is the wrong tool. AppGrid's customers are grid-first. They need powerful query, filtering and presentation capabilities to visualize and manage their data. For high-volume, desk-bound workflows, the grid is the better surface for AI — and AppGrid is the only product that delivers an AI powered grid. Episodic and data-intensive business processes require different types of AI because they are are fundamentally different AI problems.
A service rep working a 1,000-case backlog can't triage in a chat thread. A sales ops manager comparing pipeline across eight teams can't pivot inside a DM. A revenue ops analyst reconciling 2000 contract line items can't type "show me the ones that don't match" — they need to see them, sort them, group them and bulk-update them. These are the most common workflows in our customer base, and every one of them is hostile to a chat interface.
AppGrid and AppGrid AI were designed specifically for this purpose. AppGrid AI understands and leverages the unique enterprise query and filtering technology provided by AppGrid. Along with the incredible prompt engineering we have designed, this allows the model to have full visibility into the parent and child relationships that a query requires to be able to generate accurate and deterministic responses to user questions. This is the biggest challenge to implementing AI. If you can't trust the responses, then implementing AI is a worthless and expensive endeavor.
How does it work?
You ask a question in plain English. AppGrid AI does three things, fast:
1 - Checks if the user has a saved query that already answers it. If yes, it runs that. The work your user has put into saved queries pays off automatically.
2 - Checks if your team has answered this question before. If yes, it executes that query instantly. Deterministic, fast, no AI guesswork required - and no additional AI cost.
3 - Asks the AI to translate your question into a Salesforce query. This only happens for genuinely new questions. The AI generates the query, AppGrid runs it under your permissions, and results appear in your grid — ready to sort, filter, edit, and act on.
Whatever path produced the answer, you see a query you can inspect, edit, and re-run. If something's wrong, fix it in seconds using our query wizard — the correction is remembered for next time. The system gets faster, smarter, and more accurate as your team uses it.
It works on day one against your standard Salesforce data. No subagent configuration. No action definitions. No field mapping exercises. The standard Salesforce schema and your org's existing data are the configuration.
Click the AI assistant button in the grid toolbar. A dialog will display allowing the user to enter their prompt using voice input. Note, you can ask questions with or without selected records. Questions with selected records are more specific and assist the model to generate accurate responses.
In the example below, we are asking an analysis type question for the selected records so the results will be in the form of a summary, otherwise the query results would have been displayed in AppGrid.
After clicking the submit button, the prompt will be sent to your model and be processed.
The results of your query will be displayed along with recommendations, starting with a summary and then the findings.
Based on the results, guided recommendations will be provided to assist the user. The power and intelligence of this solution is incredible. The system understand the role of the user submitting the question and will tailor the response appropriately.
The problem it solves
User adoption is still a problem 20+ years after Salesforce was introduced. User's are frustrated at the amount of time it takes to get their work done. The solution is simple - make the system easier to use. That's what AppGrid AI brings to the table.
Every Salesforce user has hit this wall. The information exists somewhere — in a related case, on a custom field, in a report somebody else built — but finding it means navigating to the right object, building the right filter, knowing the right field name, and getting all of it right on the first try.
To make informed decisions, users have to find the data they need then surf through various records to make decisions. AppGrid AI flips that on it's head. Users ask the question they need answered and the AI performs the data retrieval and analysis.
AppGrid AI makes teams using Salesforce more effective, efficient and productive.
"Our previous AI experiment required so much setup we abandoned it."
This is the most common Salesforce AI story we hear. The tool itself was capable, but standing it up — defining every workflow, mapping every field, training every interaction — required so much admin work that the project stalled before it delivered value.
AppGrid AI installs, asks for your AI provider key, and starts answering questions. No subagent configuration. No action definitions. No verification flow design. No field mapping exercises. The standard Salesforce schema and your org's existing data are the configuration.
AppGrid AI provides 6 types of views, each optimized to support your AI operations:
AI Assistant: Your interactive voice-powered portal that submits your questions and displays results of your queries.
AI audit log: Displays your history of AI submissions.
AI training log: Displays a history of low-confidence queries which can be used to optimize the model
AI testing portal: Enables customers to test domain specific queries and validate model performance
AI domain vocabulary Enables customers to train the system on their unique domain
AI config: Configuration panel the provides settings to control the model behavior
AppGrid AI works for every role
Role
What AppGrid AI does
CEO
What's changed across the business this week?" — a one-paragraph executive narrative across the views that matter: pipeline movement, at-risk renewals, service backlog trend, deals that slipped. The Monday morning scan across five dashboards collapses to one read. When the board asks, the answer is already drafted.
CRO
Where is the quarter at risk?" — AI reads across team views, surfaces the deals slipping close dates, the territories under-covered, the stages where conversion is breaking down. "Prep me for my forecast call" returns the at-risk list with reasoning and recommended pressure points — by team, by AE, by deal. The forecast call stops being a guessing game.
CMO
Which campaigns are actually moving pipeline?" — natural-language filters across campaign-influenced opps with full QueryBuilder semantics (multi-touch, date-literal comparisons, product-line predicates). "Find me five more accounts like our best closed-won this quarter" turns ICP from a slide into a working list the SDR team can act on Monday.
Account Executive
Catches you up on an account in five seconds before the renewal call. After the call, hold the mic and speak: "log a call with Tom, he's blocked on procurement, move close date to end of Q3, set probability to 60" — six-field update, one sentence, one confirm. End of day: "how's my pipeline?" and get an honest self-assessment.
Service Rep
Opens the morning queue and asks "what needs my attention?" — a ranked list of cases with SLA risk, escalation flags, and the admin's red-row rules driving the priority. The 50,000-case backlog stops being a scroll problem.
Sales Manager
Prep me for my review with Sarah." — at-risk deals across her shared views, what's changed since last review, recommended discussion points. The manager opens AppGrid first, and the team follows.
Sales Ops
Natural-language filters across the full AppGrid QueryBuilder: "closed-won opps over $100k in the last 90 days with at least one product line over $1k." Three-level grandchild predicates, semi-joins, date-literal comparisons — no click-through the wizard.
RevOps Analyst
Reconciling 1000 contract line items? "Find me five more like this one" on any row — AI extracts product family, term length, slipping pattern, returns the matches. Replaces the Excel pivot and the colleague Slack.
Customer Success Manager
Catch me up on this account" across the full multi-level view — open cases, recent activity, renewal date, sentiment signals from formatting rules — one paragraph, one read. Walk into every QBR prepared without the manual scan.
Salesforce Admin
The views you already curated become AI training context for free. Field selection, formatting rules, and filter logic teach the AI what matters. The test harness, audit log, and domain vocabulary let you defend the rollout in a security review.
Built for the Salesforce platform
AppGrid AI is a Salesforce-native ISV solution. Everything it does respects the platform's standard security model:
- Every query runs under the asking user's Salesforce permissions — field-level security, sharing rules, record types, role hierarchy
- Sensitive data the user can't normally see, they can't see through AppGrid AI either
- No data leaves your Salesforce org (your AI provider's terms of service govern data sent to the AI for query translation; AppGrid AI is BYOK so you control the AI provider)
- All AI activity is audit-logged in Salesforce
- Admins can review, edit, or delete any remembered question at any time
- Installation is a standard AppExchange package install
no infrastructure to stand up, no separate vendor relationship to manage