Tiny Agentic Martians | AI Integration & Solutions
Turning Business Workflows Into Software
The prototype is the easy part. Production brings bad data, edge cases, failed tools, and workflows that don't behave as expected. TamDev builds agents with monitoring, bounded actions, and exception paths built into the system so the workflow can keep running when reality gets messy.
What Changes When AI Handles the Repetitive Work
Weekly Reporting
Before
Days of manual work
After
Automated, ready in minutes
Document Processing
Before
Bottlenecked by manual effort
After
Scales past manual limits
Compliance Checks
Before
Periodic and reactive
After
Continuous, flagged as it happens
Data Entry
Before
Hours every day
After
Minutes of review
Lead Scoring
Before
Manual review
After
Scored as leads arrive
Design targets for a team like yours, not results from past clients.
How AI Takes Work Off Your Plate
Every engagement starts with one of these.
Custom AI Applications
Off-the-shelf AI doesn't know your business. We build custom tools that connect to your data and run inside your infrastructure, so the software fits how your team is currently working.
Agentic Workflow Automation
The emails, CRM updates, reports, and exception handling your team does on repeat. Turned into pipelines that run on your schedule and hand the cases they can't handle to a person.
AI Strategy & Integration
An audit of your stack, a ranked list of the workflows burning the most hours, and a phased rollout plan ordered by ROI. Start with the win that funds the next one.
Ongoing AI Operations & Support
Systems that run unattended still need an owner. Prompt tuning, model migrations when a provider retires a version, and someone to call when output slips. Handled on retainer so the system keeps doing the job it was built for.
Why Most AI Projects Stall
Four ways AI projects end up in purgatory. Each one traces back to a design decision.
The pilot works, production doesn't
Clean demo data hides the work that shows up after launch. Real operations bring bad inputs, exceptions, and situations nobody thought to document. We design for those cases up front, so your team only steps in when the system needs a decision.
Nobody owns it after launch
Providers retire models, prompts go stale, and API changes break the build. Most projects ship without monitoring and degrade quietly until someone notices the numbers are wrong. By then the team has stopped trusting the output.
It automates the wrong thing
Teams automate what's easiest, instead of the most expensive to keep doing. You end up with a working system that saves four hours a week while the forty-hour problem sits untouched.
The team never trusts it
A black box earns no trust. When your team can't see how the AI reached a decision, they keep shadowing it with manual work, and the hours you meant to save disappear.
Catching these early is what the first two weeks of any engagement are for.
Discuss Your Use CaseBuilt to Hold Up After Launch
The value is in the system design and the review loop around it. Four things every build ships with.
Exceptions are the design
The 10% an agent shouldn't handle alone is the whole design problem. Every pipeline gets an explicit path for low-confidence cases, with a person at the end of it.
Monitoring ships with the build
Every system ships instrumented from day one. You can see how it's performing without waiting for a customer to tell you something broke.
Agents show their work
A system your team can't inspect is one they'll quietly redo by hand. Every decision stays visible, so people can spot-check the output instead of starting over.
Someone owns it after launch
AI systems don't stay static. Models will change, prompts stop performing, and new edge cases surface over time. We can stay on with the system after launch, handling monitoring, tuning, and model migrations as it evolves.
The outcome is a production system your team can rely on, doing the work that used to consume their time.
How an Engagement Works
Four phases with a measurable milestone at each one. Built to go live within 8 weeks.
Discovery & Assessment
Your workflows, data sources, and team structure mapped. The automation opportunities that pay for themselves fastest identified and prioritized.
Architecture & Strategy
Models selected, pipelines defined, architecture designed. A phased roadmap with milestones lands before a single line of code ships, so scope is fixed before the build starts.
Build & Integrate
Agile delivery: working software over status decks. Each sprint ships an increment to staging, wired into your existing tools through APIs and webhooks, and you review it live before the next one starts.
Operate & Optimize
The system moves into ongoing ownership. As your data and processes mature, it gets adjusted to match, so it keeps working instead of slowly falling out of step with the business.
Who We Serve
Your team shouldn't spend its week doing work that software can handle. Start with the repetitive processes closest to revenue and build from there.
Growing teams
Companies with 25 or more people, where the volume of manual work makes automation pay off fast and a small team can take on work it would otherwise turn down.
Agentic engineering, applied to your work
The craft is the same whether the workflow is a marketing brief or a pipeline report: agents that act inside bounds, log what they did, and hand off when unsure. The domain is whatever your team runs.
Start small or scale up
Start with one workflow. When it pays off, expand to a full system on the same foundation.
Anyone ready to start
No technical background or finished plan required. If you have a workflow worth automating, that is the starting point.
Revenue Operator. Engineer. AI Builder.
TamDev was founded by a revenue operator who builds. The gap between AI demos and AI running in production is where most projects die. We exist to close it.
Ships Working Software
Startup and freelance engineering background. Every engagement ends with software running in your stack.
Revenue DNA
Every system starts from the metric it has to move.
Cross-Functional Fluency
Can sit in the sales call, the ops review, and the code review, and translate between them.
Built for Outcomes
The Founding Cohort
Operating in small cohorts, with real client input on what gets built next.
One point of contact
The person who scopes the work is the person who builds it. Nothing gets lost between the sales call and delivery.
A small cohort by design
A handful of clients at a time, so each one gets real attention.
Shape what gets built
Founding clients help define how we work with your team. Your priorities set what comes next.
Let's Map Out Where AI Fits
Start with a quick strategy call. 30 minutes, zero obligation. You'll leave knowing which workflow to automate first, whether or not it leads to an engagement.
A handful of clients at a time, by design