Plain-language questions over data
Staff ask in everyday language and the assistant translates it into a query against your databases and spreadsheets.
AI Knowledge Assistant · Structured Data Lookups · AI-First · Results-Driven
Structured Data Lookups,The Numbers on Demand From Your Databases
Short answer: A structured data lookups assistant is an internal AI tool that answers questions across your databases and spreadsheets—not just documents—so staff get the numbers on demand in plain language. Instead of only retrieving text passages, it translates a question into a query against your structured data (SQL databases, data warehouses, spreadsheets) and returns the figure with the query it ran, so the answer is verifiable. The value is self-serve access to live operational numbers—inventory, order status, account balances, metrics—without waiting on an analyst or building a report. Zen in Tech builds these assistants in Houston and worldwide, connected securely to your own data.
Answers from your data, not just your documents
A document assistant is great at 'what's our policy?' but useless at 'how many units of SKU-4471 are in the Dallas warehouse right now?' Those answers live in databases and spreadsheets, not PDFs. A structured data lookups assistant closes that gap: it turns a plain-language question into a query against your structured data and returns the actual number—inventory levels, order status, account balances, KPIs—so staff self-serve the figures they'd otherwise wait on an analyst to pull.
Because these answers are numbers people will act on, trust and safety are the whole game. The assistant shows the query it ran and the source table so the result is verifiable, runs against read-only connections and scoped views so it can't change data, and honors row- and column-level permissions so people only see the records they're allowed to. Guardrails keep it from guessing when a question is ambiguous—it asks for clarification or says it can't answer rather than returning a confident wrong number.
We connect it to your real systems—PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Google Sheets and Excel—and can blend structured lookups with your documents so one assistant handles both 'what's the policy' and 'what's the number.' Being 100% in-house, the same team handles secure read-only connections, query accuracy tuning and evaluation, and the access controls a data tool has to enforce.
What we cover
What the structured data lookups assistant handles
Live operational numbers
Inventory, order status, account balances, and KPIs returned on demand from your live systems, not a stale export.
Verifiable, query-backed answers
Each answer shows the query it ran and the source table, so users and analysts can verify the number instead of trusting a black box.
Read-only, safe access
The assistant runs against read-only connections and scoped views, so it can look up data but never change or delete it.
Row & column-level permissions
People only see the records and fields they're entitled to, so sensitive columns and restricted rows stay protected.
Blended docs + data answers
Combine structured lookups with your documents so one assistant handles both 'what's our policy' and 'what's the current number.'
Services
How a structured data lookups build works with us
From a pilot on one database to a governed assistant across your data sources, here's the lifecycle of the engagement.
1. Data & question discovery
We map your databases, warehouses, and spreadsheets and identify the recurring questions staff wait on analysts to answer.
2. Secure read-only connections
We connect via read-only credentials and scoped views, define the schema and business terms, and never expose write access.
3. Query accuracy tuning
We tune natural-language-to-query translation against real questions, add clarification prompts, and evaluate for correctness.
4. Permissions & guardrails
We enforce row- and column-level access, set 'I can't answer that' behavior for ambiguous asks, and surface the query for verification.
5. Deployment & blending
We ship to Slack, Teams, or a portal with SSO, and optionally blend structured lookups with your document assistant.
6. Monitoring & care plan
We track query accuracy and usage, refine as schemas change, and expand coverage to new data sources over time.
Tools & platforms
Our structured data lookups stack
The exact toolset depends on your goals — these are the platforms we use most, and we work with whatever your team already relies on.
LLMs & Reasoning
Orchestration
Databases & Warehouses
Spreadsheets & Files
Access & Security
Read-only connectionsscoped viewsrow & column-level permissionsSSO
Evaluation & Guardrails
Chosen per project — not a fixed menu. Have a preferred tool or platform? We’ll work with it.
Built to last
Secure, Private & Reliable
Your data stays yours — we deploy on your infrastructure or a private cloud, with access controls, encryption and no training on your data by default. Sensitive workflows keep a human in the loop.
Every agent and automation ships with monitoring, guardrails and fallbacks, so it behaves predictably in production and you can trust it with real work.
Who we work with
Industries We Automate
20+ years across sectors — in Houston and internationally.
Transparent pricing
Estimate your project in seconds
Pick what you’re building for an indicative range, then request an exact quote. No email wall.
Simple prices for typical tasks
- RAG pilotfrom $8k
- Production assistantfrom $16k
- Enterprisefrom $30k
- Care planfrom $1.5k/mo
Proof
700+ projects, 20+ years
See the products and growth work we’ve shipped across industries — and request a case study relevant to yours.
How we work
Fixed scope. Sprints. Working software.
- 01
Scope & fixed estimate
A short discovery call turns your idea into a clear spec and a firm range — free.
- 02
Design & architecture
UX, data model and stack chosen for your scale, not ours.
- 03
Build in sprints
Working software every 1–2 weeks — you see progress, not promises.
- 04
Launch & scale
We ship, measure and keep improving with care plans.
FAQ
Structured data lookups assistant questions
What is a structured data lookups assistant?
It's an internal AI assistant that answers questions across your databases and spreadsheets, not just documents. It translates a plain-language question into a query against your structured data—SQL databases, warehouses, spreadsheets—and returns the number along with the query it ran, so staff get verifiable operational figures on demand instead of waiting on an analyst.
How is this different from a document knowledge assistant?
A document assistant retrieves text passages to answer 'what's our policy?' A structured data assistant queries your databases and spreadsheets to answer 'what's the number?'—like inventory levels or account balances. We can also blend both in one assistant, so it handles policy questions and live data lookups together, each grounded in the right source.
How much does a structured data lookups assistant cost?
A focused pilot on one database typically starts around $8,000, while a governed rollout across multiple data sources with permissions and blending generally runs $20,000–$60,000+. Cost depends on the number of sources, schema complexity, and access rules—we confirm the exact figure on a free call, with no fake guarantees.
How long does it take to build?
A pilot on one database usually ships in 3–6 weeks. A broader rollout across multiple databases, warehouses, and spreadsheets, with permissions and query tuning, typically runs 2–4 months. We work in short sprints so you can test real questions against your own data early.
How do you keep the numbers accurate and the data safe?
The assistant shows the query it ran and the source table so every answer is verifiable, and we tune and evaluate natural-language-to-query translation against real questions. It runs on read-only connections and scoped views so it can't change data, honors row- and column-level permissions, and asks for clarification rather than returning a confident wrong number.
What data sources can it connect to?
Common sources include PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Google Sheets, and Excel. If your data lives in a database, warehouse, or spreadsheet with an API or connection, we can usually connect it securely as a read-only, always-current source.
Do you build structured data lookups assistants outside Houston?
Yes. We're based in Houston, TX and have delivered 700+ projects internationally over 20+ years. We build and support structured data assistants for teams across Texas, the USA, and worldwide, working securely with remote and in-house teams alike.
Do you build these for Houston businesses?
Absolutely—it's our home market. Our office is at 9800 Richmond Ave in the Westchase / Energy Corridor area, and we can meet in person to map your databases and spreadsheets and plan an assistant that puts your numbers on demand.
Ready to get your numbers on demand?
Book a free call and we'll review your databases and spreadsheets, then map an assistant that answers data questions in plain language with a verifiable query. Pilots typically start around $8k; full scope is confirmed on the call.
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