Services

Less manual work. Systems that hold up.

Every service starts from a business problem: time lost to repetitive work, software that doesn’t connect, reports built by hand. Here’s what each one fixes, what you receive, and the work that shows it.

Service 01

AI agents and workflow automation

Take routine steps off your team.

Problems it solves
  • Intake, routing, and follow-ups that someone handles by hand every day
  • The same questions answered over and over
  • Work that stalls because the next step depends on someone remembering
What you receive

A deployed workflow or AI agent that does a specific job, with clear limits, a record of what it did, exceptions routed to a person, and documentation. Typical projects take 2 to 6 weeks.

Evidence

The AI morning brief → (Internal system)

Mesh Content Engine → (Owner-operated business)

Past example: Built a semantic knowledge system with 9,890 indexed records and a custom MCP server, enabling natural language search across multiple data sources.

Tools and technology
OpenAI APIClaudeLangChainRAGpgvectorn8nMCPWebhooks
Service 02

Business process automation and integrations

Make the software you already pay for share information.

Problems it solves
  • The same record retyped into two or three systems
  • Handoffs between tools that break quietly
  • Processes nobody can see until something goes wrong
What you receive

Connected systems and automated handoffs, with logging so you can see every change and alerts when something needs attention. Smaller integrations take 1 to 2 weeks.

Evidence

Mesh House Ledger → (Owner-operated business)

Past example: Built the operations system for a coworking space: financial management, member lifecycle tracking, access control, and room reservations, integrated with Square, Calendly, Nexudus, and HubSpot.

Tools and technology
REST APIsTwilioHubSpotSquareCalendlyQuickBooksPower AutomateWebhooks
Start here

Find out what your business should automate first.

In one week, receive a prioritized automation roadmap showing which workflows are worth improving, the likely implementation requirements, and where to start.

  • Current workflow assessment
  • Prioritized automation opportunities
  • Feasibility, effort, impact, and risk for each
  • Estimated time savings, with the assumptions shown
  • Recommended implementation roadmap
  • Implementation scope, timeline, and cost estimate
Service 03

Data pipelines, analytics, and reporting

Reports that build themselves, with numbers you can trust.

Problems it solves
  • Hours each week spent exporting CSVs and assembling the same report
  • Data spread across spreadsheets and tools that don’t agree
  • Decisions made on gut feel because the numbers are hard to get
What you receive

Automated data pipelines, a clean database design, and dashboards or scheduled reports your team will actually read. Typical projects take 2 to 8 weeks.

Evidence

Office IQ → (Research project, paused)

Past example: Engineered automated ETL processes that eliminated manual data entry across agricultural operations, with Prefect orchestration and fuzzy matching that replaced hours of daily manual work.

Tools and technology
PythonPostgreSQLBigQueryPower BITableauPrefectpandasStreamlit
Service 04

Custom applications and production deployment

When off-the-shelf tools don’t fit, build the one that does.

Problems it solves
  • Outgrown spreadsheets and generic tools
  • An app built quickly with AI that has never been independently reviewed
  • Deployments that feel risky, with no tests or rollback plan
What you receive

Working software with source code, automated tests, deployment infrastructure, and documentation. For AI-built apps: a read-only audit, a ranked fix plan, tests, and verified production deploys. Full applications typically take 4 to 8 weeks.

Evidence

Koinevo and Branfam → (Owner-operated products)

Zakar → (Internal system)

Tools and technology
FlaskDjangoFastAPINode.jsDockerGitHub ActionsAzureDigitalOcean
Service 05

Machine learning and data science

Answer a specific business question with your own data.

Problems it solves
  • Churn, demand, or risk you can only react to after the fact
  • Documents or records that someone classifies by hand
  • Data you collect but never use to predict anything
What you receive

A validated model deployed where your team can use it, with monitoring and plain-language documentation of what it does and when to retrain it. Typical projects take 3 to 8 weeks.

Evidence

Past example: Built a RAG chatbot for operational analytics that answers natural language questions across 5 business domains (MS Data Science capstone).

Tools and technology
scikit-learnpandasNLPAzure MLMLOpsStatistical analysis
Service 06

Website redesign and performance

A site that looks like your business and loads fast.

Problems it solves
  • A site that looks like a template or loads slowly on a phone
  • Visitors who can’t tell what to do next
  • A site stuck inside a platform you have outgrown
What you receive

A benchmark audit against the best sites in your industry, then design, build, and migration with redirects so you keep your search rankings. You also get the design system and a ranked list of what to improve next. Typical projects take 3 to 6 weeks.

Evidence

Mesh Cowork → (Owner-operated business)

EmpowerMend Wellness → (Client project)

Tools and technology
WordPressAstroCloudflareLighthouseCore Web VitalsSchema.orgGA4

Not sure which service you need?

Most projects cross these lines. Start with a 30-minute Fit Call, or send a note about any other project.