AGENTS01
Conversational & RAG agents
Production assistants grounded in your own data, with retrieval, tool use, and guardrails that hold up under real traffic.
Grounded answers with citationsAI-native software agency
We build production AI, end to end.
From discovery to deploy, we ship grounded agents, automations, and copilots with evals that prove they work.
What we build
AI work, demonstrated
Six capabilities we ship into production. Each one comes with the evals, guardrails, and observability that keep it honest after launch.
AUTOMATION02
Agentic workflow automation
Pipelines that read, decide, and act across your internal tools, with human approval gates where they matter.
Hours of manual work removed per weekDOC INTEL03
Document intelligence
Extraction, classification, and summarization over messy PDFs, contracts, and scans, validated against a real eval set.
Structured data from unstructured docsVOICE04
Realtime voice agents
Low-latency voice for support, scheduling, and intake that sounds human and routes cleanly to a person when needed.
Sub-second turn latencyCOPILOTS05
Internal copilots
Domain copilots wired into your stack with tool use, permissions, and an audit trail your security team will sign off on.
Wired into the tools you already useEVALS06
Evals & observability
Offline eval suites and live tracing so model quality is a number you watch, not a vibe you hope for.
Quality measured, not guessedSelected work
One engagement, described in full
Client work is anonymized by policy, so what follows is the system rather than the logo. No metrics are quoted, because none were measured. What is claimed here is what was built.
A direct-to-consumer hydroponics merchant
Four automations built around one online store
A specialty e-commerce merchant selling hydroponic growing equipment. We built the automation around their store: the sales calls, the content, the support replies, and the stock and fulfilment picture behind it. Each tool is built to stop rather than guess.
Read the full case studyThe four automations and the store they share
01Sales automationCALLS, QUALIFIES, FOLLOWS UPRUNNING
Solid lines are wired and running today. Dashed lines are built or available and deliberately not switched on. That convention holds across every diagram we draw.
- 01Running
Sales automation
An agent phones leads, holds a real spoken conversation, qualifies them against a fixed questionnaire, and writes structured sales data straight into the customer record. Every outbound send crosses one compliance layer.
- 02Running
Marketing automation
Writes store content optimised for both search engines and AI answer engines, and refuses to publish anything it cannot cite. It writes from a purpose-built knowledge base of cited hydroponic growing science, and every claim is re-checked against it before an article is created.
- 03Running
Customer service automation
Mines answers out of the store's own resolved tickets, answers only above a confidence threshold, and returns nothing below it. What it cannot answer becomes a queue for a person, and identity matching refuses to merge on a guess.
- 04Work in progress
Production and fulfilment automation
Pulls the store and the overseas warehouses into one ledger so stock, orders, fulfilment and cost can be read against each other. Built read-first: every mutating call sits behind a safety gate that is shut.
AI creative projects
A brand creative pipeline, grounded in the brand's own files
A hydroponics-and-e-commerce client
Product photography, ad copy and finished ads, generated in three modes that chain into each other. Behind all three sit three markdown files holding the brand's voice, its real product facts and the rules for how the product may be drawn. Nothing outside those files can be said, shown or claimed.
- Product image
- Ad copy
- Finished ad
Four automations, one house style.
These four rules are not specific to hydroponics, or to one store. They are how we build anything that has to be right rather than merely fast.
Gate first.
The safety boundary is architecture, not a setting. A permission check that runs before the network call. A flag an automated actor cannot flip. A mutating method that has to ask before it acts.
Cite, or do not say it.
Evidence is a precondition, not a review step. A fact whose quote is not in the source is rejected at ingest. An article whose citations do not resolve is never created.
Fail loudly.
When grounding cannot be established the run stops and records which step failed and why. Nothing degrades quietly to a worse answer, and no fallback drafts from the unfiltered set.
Agents propose, people approve.
Where confidence is low the work goes to a queue for a person: ambiguous identity matches, low-confidence support answers, cross-sell campaigns, and every article before it goes live.
Start here
Get an instant project estimate
Tell us what you want to build. Our estimator generates a live, structured scope and two pricing options in seconds, a monthly retainer and a one-time project build, then we refine it together on a short call.
- 01
Describe the project
A sentence or two on the problem, users, and data is enough to start.
- 02
Get a live estimate
An AI-generated scope, deliverables, timeline, and two pricing options, in seconds.
- 03
Refine on a call
We turn the ballpark into a firm proposal and a plan to ship.
Prefer to talk first? Email hello@wispgard.com and we will set up a scoping call.