AI governanceHuman augmentation
Govern the build. Augment the human.
Every person gets a role. Every agent has an owner, and never reaches further than they do. Every action names both, on the record, as it happens.
Built by TEKIMAX, and used on the client software we deliver.
Do more with the team you have
Agents take the volume. People take the calls that need judgment, and get to them with time left over.
Know it, not remember it
Which part the agent did, which part the person did, and who said yes to what could not be undone. Written as it happened.
Connects to the tools the work already lives in
Some things cannot be recalled. Those wait for a person, and their decision is written beside the work with the reason they gave. Everything reversible has already run.
Which way in
One platform, three ways in
The mechanism is the same in all three. What changes is the work it is pointed at, and who signs for it.
Forward-deployed engineeringAgencies and contract engineers whose client work has to carry names when it is handed over.Open
GovernanceTeams that want controls on their AI, so it does what it is supposed to and nothing else.Open
An AI management systemFor a company running agents that is not a software company, including the small one with no compliance function.Open
Responsible AI at work
Nothing runs that you did not allow.
AI at work should let people get more done, not replace them. That holds only while every action an agent takes is one somebody answers for, and every piece of data it touches is handled on terms you set.
CollaborationTwo nameson every action: the agent that ran it and the human it works for. Both sit on the same record, so credit and responsibility are never reconstructed after the fact.
GovernanceNo exceptionsDeploying, merging, and publishing stop before they run and wait for a named human on your side. Reversible work never waits. What was decided, and why, is kept beside the action.
AugmentationMore doneby the same people, because the agent takes the volume and the human keeps the judgment. Nobody is replaced to pay for it.
ALOS brings the work together: humans, agents and workflows in one workspace.
humans
agents
Some things cannot be recalled. Those wait for a person, and their decision is written beside the work with the reason they gave. Everything reversible has already run.
workflows
Integrations
Works with the tools your team already uses
What you can hand someone
Two artifacts, and the rest is detail
The record
One sealed history of the work, with the agent and the human named on every action. Hand it to a client, an insurer, or your own board without preparing anything first. Nobody has to reconstruct the month.
Some things cannot be recalled. Those wait for a person, and their decision is written beside the work with the reason they gave. Everything reversible has already run.
The approval
The moment a named person said yes, kept beside the thing they approved and the reason they gave. Not a timestamp in a separate system that somebody has to correlate later.
What you can point at
Every agent has an owner
An agent belongs to the person who created it. It acts for them, never as them, and it appears as theirs in every list, every filter, and every line of the record.
- Never a shared key and never a borrowed login
- Capped by its owner's permissions, and narrowed further per tool and per project
- Every change carries the agent's name and its owner's, in the same entry
- Switch one off in seconds without touching the others
Anything irreversible waits
Each step's kind is decided in advance, from a written list. Reversible work runs. Work that cannot be undone stops and goes to a named human.
- Deploying, merging, publishing, sending to a customer, and changing how data is stored all wait
- The approval sits beside the work it approved
- A refusal is recorded as carefully as a yes
Everything reversible in this run already finished. This is the only step that waited.
One record, written as the work happens
The record is the product, not a report generated afterward. It is written as the work happens and sealed as it lands.
- Who changed this, when, and under whose authority
- Which model ran, and what it was allowed to do
- A later edit to the record would show
- Tasks, client reports, and the tools you connect all draw from the same record
Every line is assigned to whoever acted, and names the human whose authority they used.
The features
Everything it does, and what each one is for
- Agent runsGive an agent a job, then read back every step of it.Read the page
- ApprovalsAnything that cannot be undone is assigned to a human.Read the page
- Audit trail and evidenceWho did what, on a sealed record, exported when someone asks.Read the page
- Client portalDocuments, signing, progress, invoices and tickets, in one place.Read the page
- Scans and approved packagesApproved packages at the exact version, checked when used.Read the page
- MCP serverConnect any AI agent, and the rules come with it.Read the page
The humans
Train the people who run your agents
AI Solutions Specialist is a registered apprenticeship. Apprentices learn it by doing real work on real projects beside a mentor, they move on by showing what they can do rather than by serving out the months, and their hours and sign-offs land on the same record as the work.
AI Solutions Specialist
Competency-based
About us
Built for teams who keep AI inside the lines
TEKIMAX is a Fort Worth software company. We build AI systems that stay inside the limits the people running them set, because most tools built around AI quietly take the human out of the loop.
The obvious objection is that a human in the loop slows everything down. It would, if you put one on every step, so we do not. Reversible work runs without waiting. Only what cannot be undone stops for a named human.
Registered apprenticeship sponsor
TEKIMAX is a U.S. Department of Labor Registered Apprenticeship sponsor for the AI Solutions Specialist occupation.
Christian Kaman is the founder and CEO of TEKIMAX Inc., a Fort Worth company building ALOS, a platform that makes forward deployment virtual: engineers and their agents work inside a customer's environment, on connections the customer owns and can switch off.
Reversibility sits at the core. Every action is either safely undoable, or held for a named human to approve.
Christian Kaman
Founder and CEO, TEKIMAX Inc.
Master's in Data Science
What it costs
Governance is not the expensive tier
The roles, the record, and the approvals are in every plan. What changes is how much of it you run, so the price depends on the work. Tell us what you are building and we will tell you.
Proof and questions
The things people ask first
What happens to an agent when its owner leaves?
It stops. An agent runs on its owner's authority, so when that person is gone from your directory the authority is gone with them. Somebody still there has to take the agent on before it works again. The record of everything it already did stays exactly as it was.
What happens to our prompts and our code?
The model providers we send your work to are set to keep none of it, for every organization, automatically, and what we store is deleted on a set schedule. It is how an account is built, not a switch somebody has to remember. Bring your own provider key and that key runs on your contract with them, which is worth knowing rather than assuming.
We are ten people with no compliance team. Is this for us?
Yes, and the first thing we give you is not software. It is the playbook: write down the AI you already use, decide the short list of things it may never do alone, put a name on every person and every agent. Most of that is an afternoon's work and costs nothing. Bring one real project onto the platform after that and the record keeps itself, which is the part a small team cannot do by hand.
Who owns what you build?
You do. The solution is yours, and so is the source, the parts list, and the record of what was built and approved. Take all of it to another firm and they can carry on. The platform we build it with stays ours: you are paying for a solution, not a subscription.
Does this make us certified?
No, and be careful with anyone who says their software does. Certification is a judgment an accredited third party makes about your organization, not something a product confers. What we can do is make the evidence a byproduct of the work, so that if you go for a standard later, or a large customer sends you a questionnaire, the answers already exist.
Govern the build. Augment the human.
Tell us what you are building and who asks you about it. We will show you the record it would leave behind.
What you can answer afterward
- Which agent did this, and who owns it
- What that agent was allowed to touch, and what it touched
- Which models were allowed on the project, and which one ran
- Who approved the release, and what they were told at the time
- What is in the software, down to each component and license
- What happens to the work if you leave