Support triage
Read the ticket, retrieve policy, draft a reply or a routing decision, and flag what a person must send. See how we think about high-containment support in this architecture note.
AI agents that act, collaborate, and deliver outcomes.
We design agentic systems that perceive, reason, use tools, and learn from feedback—built around real work, not novelty.
Explore an AI use case ↗
The service
Software that can take a goal and finish the work.
An AI agent is not a chat window with a new name. It is software that can interpret a goal, decide the next step, and use approved tools or information to complete work inside defined guardrails. MASS designs these systems around a real workflow—support, qualification, documents, reporting, retrieval—not around a demo.
We begin with the business problem, the systems you already run, and the points where a person must still decide. Then we choose the design and the technology. If a simpler rule or a better website would solve it, we say so.
Choose the right tool
Chatbots, rules, and agents.
Most “AI” projects fail because the wrong kind of software was asked to do the job. This is how MASS decides.
| Decision | Chatbot | Fixed-rule automation | AI agent |
|---|---|---|---|
| What it does | Answers in conversation from a script or a knowledge base. | Runs a known if-then path. Same input, same steps, every time. | Interprets a goal, chooses tools, and completes a sequence of work. |
| Handles variation | Language variation. Not a change in the underlying task. | Almost none. An exception stops the flow or needs a new rule. | Messy inputs and branching steps, inside the bounds you set. |
| Uses your tools | Rarely. It talks. It does not usually update the CRM. | Yes, on a pre-wired path: form to record, email to ticket. | Yes, when the next step requires an approved tool or file. |
| Where it fails | Confident wrong answers. No action when action is the job. | The one case nobody wrote a rule for. | Unscoped tools, missing review, or no log of what it did. |
| MASS uses it when | The need is answers, not work. | The path is stable, high-volume, and already understood. | The work needs judgement across tools, with a human still on the hook. |
Where agents earn their keep
Five jobs. Not a hundred demos.
Lead qualification
Take an inbound enquiry, check it against the offer, write a structured brief, and update the CRM—without pretending every lead is ready to buy.
Document processing
Extract the fields that matter from invoices, applications, or packets; mark gaps; hand the exception to a reviewer instead of silently guessing.
Reporting
Pull approved sources, assemble the weekly picture, and leave a trail of what was included. A person still signs off before it goes to a client or a board.
Internal knowledge retrieval
Answer from the documents you actually own—policies, playbooks, past tickets—and refuse when the evidence is not there. No improvising from the open web.
A support ticket arrives.
The agent is allowed to see: the ticket text, the customer record, the approved help articles, and the routing rules. It cannot see unrelated accounts or send mail on its own in this pilot.
Classify, retrieve, draft.
- Tag the intent and urgency.
- Retrieve matching policy, not a guess.
- Draft a reply or an escalate note.
- Stop if evidence is missing.
A packet a person can trust.
Suggested reply, proposed tags, a confidence note, and a link to the sources used. If the case is out of policy, the output is a handoff—not an invented answer.
A human still sends it.
In the first release, an agent never messages the customer unreviewed. A specialist accepts, edits, or rejects. Broader autonomy is earned in evaluation, not assumed at kickoff.
Integrations
Connect the tools you already run.
An agent that cannot touch the business is a chatbot. MASS maps the systems, the data, the permissions, and the failure cases first. If a tool offers a supported API or a stable connection, we can use it. If it does not, we do not pretend.
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Helpdesk and inbox
Tickets, threads, and tags—so triage and drafts land where the team already works.
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CRM and pipeline
Leads, accounts, and notes, with scoped write access so a bad parse cannot rewrite the book of record.
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Files and knowledge
Approved drives, wikis, and document stores. Retrieval is limited to what you have named as in-bounds.
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Internal apps and APIs
The databases, portals, and services your operation already depends on—connected the same way a careful engineer would, not through a shadow login.
The operating rules
Autonomy with clear boundaries.
Data access
The agent sees only the sources named for that workflow. Adjacent customer records stay out of reach.
Permissions
Read, draft, and write are separate rights. High-impact actions stay off until evaluation says they belong.
Human review
Judgement, money, legal language, and first-time exceptions go through a person. The agent prepares; it does not silently commit.
Logging
Every tool call, source, and decision is recorded so you can see what happened—not a black box with a smile.
Exceptions
Missing evidence, conflicting policy, or an unknown intent becomes a handoff, not a confident guess.
Before it scales
Prove the agent on a narrow slice.
MASS does not turn an agent loose on the whole operation because a demo looked fluent. Evaluation is a stage of the project, with pass and fail, before broader use.
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Define success in the workflow
What “done well” means for this job: correct routing, grounded answers, complete extraction, or a usable draft. Fluency is not the metric.
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Score real cases, not samples you like
Run the agent on a held-out set of actual tickets, leads, or documents—including the ugly ones. Track accuracy, refusals, and the rate of human edits.
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Watch the dangerous misses
A wrong refund, a leaked record, or a fabricated policy line fails the pilot even if the average looks fine. Those cases decide the next permission, not the other way around.
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Widen only what earned it
Broader volume, more tools, or less review is a separate decision after the slice is stable. Expansion is earned.
Honesty about fit
Sometimes the agent is the wrong tool.
The work branches.
Inputs vary, several tools are involved, and a person still needs a prepared next step rather than a blank ticket. Support triage, messy documents, and qualification often look like this.
- Goal is clear; the path is not one rule.
- Approved tools can take the next action.
- A reviewer can catch the exception.
The path is already known.
If every case follows the same steps, a rule, a form, or a well-built workflow in the product is cheaper, clearer, and easier to audit. MASS will say so.
- High volume, identical steps, no judgement.
- A spreadsheet formula or a simple integration already covers it.
- The risk of a wrong inference is unacceptable.
How an engagement runs
From one workflow to a system you can trust.
We identify a focused use case, prove it safely, and expand only when the result earns trust.
DISCOVERY
Map the current process, systems, data, exceptions, and the approval points a person must keep.
PILOT
Build one valuable workflow with tight permissions, logging, and a human in the send path.
EVALUATION
Score real cases against the success bar. Fix refusals, misses, and the tools it should not have used.
DEPLOY
Put the agent in the live path your team already uses, with the rights the evaluation actually earned.
SUPPORT
Watch the logs, retrain on new exceptions, and decide—together—whether a wider scope is justified.
What the estimate includes
Scope, cost, and what keeps running.
There is no single price for an agent. After discovery MASS defines the workflow and gives a project-specific estimate. These are the levers—including costs that continue after launch.
The workflow itself
A single triage path is not a document-extraction desk. Unique tools, edge cases, and review steps multiply design and engineering time.
Integrations
Each system—helpdesk, CRM, files, internal APIs—needs mapping, permissions, and failure handling. Unstable connectors are a scope item, not a footnote.
Evaluation and review design
Held-out cases, logging, and the human checkpoint are part of the build. Skipping them is how a fluent demo becomes an incident.
Ongoing model and API usage
Third-party model calls, embedding, and hosting are usage costs. They scale with volume. MASS names them in the estimate so they are not a surprise in month two.
Data readiness
If the knowledge base is a pile of conflicting PDFs, cleanup is work. The agent cannot invent a source of truth you do not have.
Support after go-live
Monitoring, new exceptions, and permission changes are optional retainers. They should be priced as their own agreement, not buried in the pilot.
Available to clients
Custom agents for your operation.
The service on this page is client work: discovery, a pilot on one workflow, evaluation, and deployment into the tools you already run. That is what you can start now.
MASS products in development
Separate from the client service.
The five products below are MASS’s own explorations. They are not the delivery model for a custom engagement, and they are not all generally available. Bellwether PA is the flagship operations product; the others are education, publishing, creator, and long-term research tracks.
MASS product ecosystem
Agents built for work that matters.
Five focused products exploring how capable AI can support operations, education, publishing, content, and market analysis.
01 / Flagship · In developmentBellwether PAFirst workflows: triage, qualification, retrieval—with human approval. Not a public login.
02 / Education · In developmentAIMEERetrieves from a private 700+ PDF corpus. Teacher review required. Telegram is planned, not live.
03 / Publishing · In developmentJoyquillBrief to print-ready PDF. Does not submit to Amazon or guarantee approval or earnings.
04 / Internal ventureInstagram AI AvatarIdentity-consistent drafts with human review. Not a client service. No verified affiliates.
05 / Internal researchAI Trading BotSimulated analysis only. No live trading. Kept out of search until it has a public research purpose.
Questions about agents.
What an agent is, what it may touch, when it is the wrong tool, and how a MASS pilot actually starts.
Still deciding? Talk to MASSAn AI agent is software that can interpret a goal, decide the next step, and use approved tools or information to complete work inside defined guardrails. MASS designs these systems around a real workflow—not a chat window with a new label.
A chatbot answers in conversation. Fixed-rule automation runs a known if-then path. An agent interprets a goal, chooses approved tools, and completes a sequence of work. MASS uses an agent when the path branches and a person still needs a prepared next step. The comparison is in Chatbots, rules, and agents.
Not in the first release. Read, draft, and write are separate permissions. High-impact actions stay off until evaluation earns them. In a typical pilot, a specialist accepts, edits, or rejects before anything reaches a customer.
Only the sources named for that workflow—for example the ticket, the relevant customer record, and approved help articles. Adjacent accounts and unrelated files stay out of reach. Every tool call and source is logged so you can see what happened.
When every case follows the same steps, a rule, a form, or a simple integration is cheaper, clearer, and easier to audit. MASS will say so. An agent is the wrong tool when the path is already known or the risk of a wrong inference is unacceptable. See Sometimes the agent is the wrong tool.
Start with one workflow worth proving. After discovery MASS defines the slice and gives a project-specific estimate. Cost depends on the workflow, integrations, evaluation, and ongoing model or API usage. Visit the contact page or email contact@mass.llc with the process, the systems involved, and the outcome you need.
Ready?
Start with one workflow worth proving.
Bring the process, the systems, and the outcome you need. MASS will say whether an agent is the right tool—and what a safe first slice looks like.
Design an agent workflow ↗