AI Development
AI That Knows Your Firm's Work — Not Just the Internet
We build AI tools for engineering and environmental firms that are grounded in your own proposals, project records, standards, and procedures. Every answer points back to its source, access follows your existing permissions, and your people stay in control of what goes out the door.
Beyond the chatbot
Your Firm Already Has the Answers. They're Just Hard to Find.
An engineering firm's real knowledge lives in years of past proposals, project sheets, specifications, SOPs, QA/QC manuals, and reports — spread across file shares, SharePoint sites, and the inboxes of your most senior people. Finding the right past project or the current version of a procedure can take longer than doing the work itself.
Generic AI tools don't know any of that. They can write a fluent paragraph, but they can't tell you which of your projects best matches a new RFP, and they'll sometimes state things that simply aren't true. For a firm whose reputation depends on accuracy, that's not good enough.
AI that's genuinely useful in an AEC firm is different. It works from your own documents, shows exactly where each answer came from, respects who is allowed to see what, and keeps a qualified person in the review loop. That's what we build — including the AI assistant we developed for Weston Solutions, an environmental and engineering consulting firm.
What we build
AI for AEC Firms, Built Around Your Own Knowledge
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Knowledge Assistants Grounded in Your Documents
An assistant your team can ask plain-language questions — and get answers drawn from your firm's own proposals, project sheets, specifications, SOPs, and QA/QC manuals, with citations linking to the source documents.
- What we do
- Document ingestion and indexing, retrieval tuned to technical content, cited answers, and an interface your staff can use from the browser or your intranet.
- Why it matters for AEC
- Your team gets fast answers they can verify, and institutional knowledge stops depending on who happens to remember it.
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Proposal & RFP Response Support
Tools that help proposal teams move faster: finding the most relevant past projects for a solicitation, surfacing the right staff resumes and project descriptions, pulling approved boilerplate, and preparing first drafts for your marketing and technical leads to refine.
- What we do
- Search and matching across past proposals, project descriptions, and resumes, plus drafting aids that start from your firm's approved language.
- Why it matters for AEC
- Proposal deadlines don't move. Less time hunting for content means more time on win strategy and technical approach.
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Search Across Project Archives
Search that understands meaning, not just keywords — so a query for a type of project, client, or site condition finds the relevant work even when the documents use different terms. Results can be filtered by market, office, client, or year.
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Document & Data Extraction
Pulling structured information out of reports, permits, lab results, inspection forms, and field data so it can flow into spreadsheets, databases, or dashboards — with flagged exceptions for a person to review rather than silent guesses.
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Workflow Automation
Targeted automation for repetitive steps: summarizing incoming documents, routing requests, checking submittals against a checklist, or preparing standard correspondence. Each workflow includes clear review points before anything leaves the firm.
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Secure, Private Deployments
AEC firms handle confidential client information. We design deployments around that: role-based access that mirrors your existing permissions, providers and configurations that do not use your data to train public models, activity logging, and human review where the stakes call for it.
Where AI pays off
Practical Uses for AI in an Engineering Firm
The best first AI project is narrow, frequent, and painful — a task your team repeats every week that depends on finding or reorganizing information you already have. We help you pick that starting point, prove the value with a focused pilot, and expand from there. A knowledge assistant can also live inside your company intranet, so it's available wherever your staff already work.
Where AI Earns Its Keep
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Proposal Teams Rebuilding the Same Content
Every RFP means digging through old proposals for project descriptions, resumes, and qualifications. You want the right content surfaced in minutes, not hours.
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Senior Staff Answering the Same Questions
Your most experienced people spend part of every day answering questions about standards, procedures, and past projects. You want that knowledge available to everyone, with sources attached.
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Data Trapped in PDFs and Field Forms
Reports, permits, and field data arrive as documents that someone has to re-key into a spreadsheet or database. You want extraction with a person checking the exceptions.
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You've Tried Generic AI Tools and Hit a Wall
Your team experimented with public AI tools but couldn't trust the answers or use them with client information. You need something grounded, private, and accountable.
Sound familiar? Let's talk
How it works
From Use Case to Trusted Tool
Scope varies with the number of document sources, integrations, and security requirements. We recommend starting with a focused pilot before a firm-wide rollout.
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Use-Case Discovery
We interview the people who would use the tool, map the task it should support, and agree on what success looks like. The goal is one well-defined use case, not a vague mandate to add AI.
- Deliverables
- Prioritized use cases
- Success criteria
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Content & Access Review
We inventory the documents and data involved, where they live, how current they are, and who is allowed to see them. This shapes the security model and identifies any cleanup worth doing first.
- Deliverables
- Source inventory
- Access and security plan
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Pilot
We build a working version for a small group of real users, measure answer quality against the success criteria, and refine retrieval, prompts, and the interface based on their feedback.
- Deliverables
- Working pilot
- Evaluation findings
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Rollout & Training
We deploy to the wider team, integrate with the tools they already use, and train staff on what the system does well, where its limits are, and how to verify its answers.
- Deliverables
- Production deployment
- Staff training and usage guidelines
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Monitoring & Improvement
We keep document sources current, review usage and feedback, and improve the system over time — adding sources or new use cases as the firm gains confidence.
Why Cavallo
Why AEC Firms Trust Us with AI
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Grounded, Not Generic
We build AI that works from your firm's own documents and cites its sources. If the answer isn't in your content, the system should say so rather than invent one.
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We Understand AEC Content
Proposals, project sheets, specifications, and QA/QC procedures have their own structure and vocabulary. We've spent years working with engineering and environmental firms, and we design retrieval around how that content is actually written and used.
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Security and Review Built In
Access controls, confidentiality, and human review are part of the design from the first conversation — not features bolted on after a pilot.
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Part of a Larger Software Practice
AI tools work best when they connect to the rest of your systems. As part of our custom software development practice, we can integrate AI into your intranet, client portals, and internal applications.
FAQ
Frequently Asked Questions
Is this just a chatbot?
No. A chat interface is often how people use the tool, but the value is in what's behind it: retrieval across your firm's own documents, cited answers, extraction pipelines, and workflows designed around specific tasks like proposal development. We build for a defined job, not for conversation for its own sake.
Will our confidential client information stay secure?
We design every deployment around confidentiality. That means role-based access that mirrors your existing permissions, AI providers and configurations that do not use your data to train public models, activity logging, and clear rules about which content the system can draw on. Security requirements are reviewed with your IT team before any data is connected.
How do you keep the AI from making things up?
We ground answers in your own documents, show citations so users can check the source, and configure the system to say when it can't find an answer rather than guess. No AI system is perfect, so we also train staff to verify outputs and build human review into any workflow where accuracy matters.
What kinds of documents can it work with?
Typical sources include past proposals, project sheets and descriptions, resumes, specifications, SOPs, QA/QC manuals, reports, and permits, usually in Word, PDF, or spreadsheet form. We review your sources during discovery and flag anything that needs cleanup or special handling, such as scanned documents.
Do our files need to be perfectly organized before we start?
No. Most firms' archives are messy, and a good system has to work with that reality. Part of discovery is identifying which sources are reliable and current, and sometimes a small amount of cleanup on the most important content makes a large difference in answer quality.
Can it connect to SharePoint or Microsoft 365?
Often, yes. Many engineering firms store their documents in SharePoint or OneDrive and sign in with Microsoft accounts, and we can design around that so the assistant respects the same permissions. We confirm the specifics of your environment during discovery.
Get started
Put Your Firm's Knowledge to Work
Let's talk about where AI could save your team real time — and how to deploy it in a way your clients, your IT team, and your principals can trust.