Straterai Systems.

Our AI systems are built with your business data, alongside your team. The result is work done faster, and done right, on your own records.

Scroll

What we build.

Most engagements combine several of these on one data foundation.

01 / 07

The architecture under every system we build.

Every system of record in one place. We connect your ERP, point of sale, accounting, CRM, documents, public databases and software providers, and land them in a secure cloud database. Each source keeps its raw records and refreshes on a schedule. This foundation is the layer that educates AI models on your business operations.

On top of it sits an ontology: each site, vendor, contract, customer, product and more, named once and linked to every record about it. That is what lets a question about one site pull its machine feed, lease, staffing and financials into one answer. Every system below reads from this layer, and your own team can query it directly, under their own login and permissions.

02 / 07

AI systems that work for you.

The systems your business runs on, built for how you work. Reporting surfaces and dashboards read straight from the foundation, so executives, managers and employees see the same numbers, and every figure traces back to its source record. Information from across your company, the sales data, the accounts, the documents and the public record, is synthesised into one picture of your business.

Automated workflows run on top. Multi-step work runs on a schedule, reads the records it needs, writes back to the systems it should, and logs every step. Decisions arrive drafted for your team to approve. Each system is custom built for your company and grows with your operation.

03 / 07

Your whole company, one question away.

Ask a question in plain language and get the answer directly from your data: contract clauses, broker reports, emails, invoices, financials, every row in the foundation. Our retrieval engine holds your documents and data side by side, so answers and decisions are cited against real numbers.

Ask which contracts renew in the next ninety days and what you agreed on price. Ask what the last three broker reports said about a company on your watch list. Ask which sites missed budget this month and why. Ask for every invoice from a supplier since January, reconciled to its purchase order, or the last five emails with a customer, summarised before you call. Every answer comes with the record it came from.

04 / 07

Contracts, leases, filings and invoices read as they arrive.

Every document you sign or receive is read the day it lands. Contracts, leases, permits, filings and invoices are classified, and the fields that matter are extracted: parties, key dates, notice windows, renewal terms, values, payment terms and termination rights. Each date goes on a calendar with the people who need to act on it.

Anything the system is unsure of goes to a person for review, and the corrected reading trains the next one. One place to track your agreements, renewal dates and associated costs.

05 / 07

The hours and the spend a system would give back.

We identify technology expense and inefficient work. Workflow monitoring and discovery show the repeated processes, the operational pain points and the areas to implement AI solutions. Software vendor audits compare subscriptions against what your team opens, what it costs, and what an AI-driven build would replace.

You get a clear view of the technology and workflows your company runs on, and what each one costs. We propose solutions and areas where our services can add value, and our systems cut the cost of inefficient work and overpriced software.

06 / 07

Targets found and deals screened.

Targets and prospects found in public and internal records: state business filings, court records, property and licence data, your internal records. Each one is resolved into a single profile and scored on an engine built with your decision matrix or buy box.

Deals that come to you are screened the same way. Broker proposals and offering memorandums are read in full, the terms and financials pulled out and checked against the criteria you buy on. Each one comes back scored with relevant data points and the original page. Start sourcing prospects and screening deals more efficiently, with a solution tailored to your business.

07 / 07

Built alongside the people who will use it.

Our engineers work inside your company, alongside the people who do the job. Each project opens with discovery: where the data sits, how the work runs today, and what a system would have to do to be worth using. We build in short cycles and put working software in front of your team early, then change it on what they tell us.

Your team learns the systems as they are built. We sit with the people who will use them, show how AI changes the work in front of them, and leave them able to run and extend what we built. Each project ends with something in production and people who know how it works.

Our structured engagements.

Every engagement is unique, but our structured discovery-to-scoping process ensures all clients see value and results from our services. We present a scope and a cost before you commit to anything.

  1. 01

    Complimentary consultation

    Our initial introduction. You sit down with one of our founders to discuss your business, your pain points and your interest in AI. We share our first thoughts, comparisons to work we have done, and what may be right for you.

  2. 02

    Discovery

    We focus on the areas that came out of the consultation. This is where we sit down with your leaders and operators to identify specific solutions. We map where your data lives and how your business operates.

  3. 03

    Findings and scoping

    Following discovery, we come back with an initial data outline, workflow map and solutions proposal: what we would build and why, what it looks like and what it costs. You can approve it, cut anything, or stop here.

  4. 04

    Foundation

    This step builds the infrastructure layer that allows AI to understand your business. Your documents, systems, numbers and data points in one secure cloud database. Everything that comes after this is powered by the foundation.

  5. 05

    Pilot build

    The first system from discovery, configured to how you work and tested with your team before anything goes live company-wide. Our pilot build shows you the capability of well-structured AI within your business, and where we can go from there.

  6. 06

    Ongoing

    After go-live one of our engineers stays with you on a monthly engagement: maintenance, updates and the next items on the list. You can end it at the close of any month, and the database, the systems and the IP are retained by you.

Two ways to work with us.

Systems and tools

AI systems built for a specific job.

A system for work your company does by hand today, such as reporting, contract management, research or document processing. We build it on your own data, hand it over working and support it month to month.

  • Built on your own data and systems
  • Tested with your team before it goes live
  • Monthly support and updates after launch
Embedded engineering

An engineer inside your company.

An ongoing engagement where one of our engineers works inside your business. The engineer advises your team, scopes the next build, builds it and maintains the systems already live, with a founder accountable for the work.

  • Hands-on advisory, discovery and education
  • A running list of what to build next
  • Month-to-month, with everything staying with you
Case studies

Case studies.

Systems we have designed and built for operating companies, from data warehouses and research tools to acquisition pipelines.

Consumer products manufacturer and retailerLive

An embedded engineering team running IT and the data warehouse

We run the company's IT department and built its data warehouse. Department leaders now build their own reports and tools with AI on top of it.

  • Custom connections to every core system
  • A named owner for every data source
  • Staff-built tools running in production
Institutional asset managerLive

Sell-side and in-house research in one system

Broker reports, public filings, earnings transcripts and the firm's own notes are filed by company in one research system. Analysts ask a question and get an answer with its source cited.

  • New broker reports filed by company
  • A cited source behind every answer
  • Executive email sorted, replies drafted
Multi-site early education operatorDeployed

Contract deadline tracking and a company-wide project board

The company's integration plan runs on a board that syncs with its spreadsheet. Its signed contracts sit in one system that tracks their terms and deadlines.

  • Two-way sync with the plan spreadsheet
  • Notice windows and renewals on a calendar
  • Uncertain readings sent to a person
Car wash operatorPrototype

Site performance reporting from the whole estate down to one site

One reporting model gives shareholders, executives, regional managers and site operators their own view. Sites are ranked by the severity of flagged problems, with earnings per wash beside each.

  • A view for every level of the business
  • Problem sites ranked by severity
  • Earnings per wash by site
National insurance providerBuilt, not deployed

Acquisition target screening and deal pipeline

One system finds acquisition targets in public records and ranks them by fit. It tracks each deal to close and builds the board report from current pipeline data.

  • Target profiles from public records
  • Every score saved with its data
  • Board deck from current pipeline data
Industrial brokerage team at a commercial real estate firmDemo

Tenant prospecting from public records

The system matches each industrial building in a market to its operating company and a local decision-maker. It flags new tenants as businesses open.

  • Every building matched to a decision-maker
  • New tenants flagged from license records
  • A drafted call brief for each building

Empowering Enterprises,
Engineering the Future.

Start the conversation
Or writeinquire@straterai.com
Hear from a founder within a business day