Custom Agent Systems
Agentic AI Systems, Built for the Enterprise.
We design and build custom agent systems around your operations and revenue processes — integrated with the systems you already run, governed to your standards, and delivered working, not as a roadmap.
The problem
In every enterprise, the critical questions still travel by hand.
The answer lives in four systems, and nobody owns the join.
By the time the variance is explained, the quarter has already closed.
The one person who knows why it happened is on leave.
The questions move across departments, spreadsheets, and steering meetings before anyone can act on them. The information exists — the process to reach it doesn't. That's the system we build.
Proof
We build these for ourselves first. Galen Qual and Galen Quant are our own agent systems, running in production. The reasoning, the source-linking, and the governance described on this page are the ones we built and operate — custom work starts from that foundation, not from a blank page.
What we build
Systems of agents, not single tools. One agent watching one process is where most projects stop. The value shows up when they coordinate — across departments, on a schedule your business already keeps.
Systems of agents, not single tools
One agent watching one process is a start. We build coordinated systems: agents that monitor, investigate, cross-check each other's findings, and escalate — spanning departments the way your business already does.
Built into the systems you already run
Agents work against your existing environment — the planning, transactional, and reporting systems your teams open every morning — rather than asking the organization to move somewhere new.
Nothing moves house
Explanation, not just alerts
When a result shifts, the system traces it back through the operation and arrives with the why: which region, which product line, which week it started. An alert tells you something moved. This tells you what happened.
Reporting for the people who decide
The output is a brief written for decision-makers — what changed, why, how big, and what is worth doing about it — delivered on the cadence your business already runs: the Monday meeting, the monthly close, the quarterly review.
Where teams put agents to work
Five functions, five different operating rhythms.
Product first. Custom where the product stops.
Galen Quant already answers the financial questions that fit a common shape — variance, margin, concentration, entity risk — and Galen Qual does the same for market and customer research. Custom work is for the processes that do not fit a common shape: your approval flow, your regulatory reporting, your network's operating rhythm. Most engagements use both, and we will tell you when the product alone is enough.
Finance
Close orchestration: reconciliations chased across systems, exceptions surfaced with the supporting document already attached, and a close checklist that knows what is still open and who is holding it.
Risk
Continuous monitoring of exposure and control indicators, with an early-warning brief when a pattern breaks — and a record of what was checked, when, and what it found.
Operations
Delivery performance, capacity, and delay patterns across the network, connected to their downstream effect on customers and cost rather than reported as isolated metrics.
Sales
Coverage and follow-through: which accounts went quiet, which commitments slipped, which renewals have no owner — assembled before the pipeline review rather than argued during it.
Marketing
Campaign and channel performance tied to actual revenue outcomes rather than platform metrics, with spend flagged when returns start to drift.
Each of these is a system built around your process — not a module switched on.
How we build it
Three layers underneath every agent. What sits below the agents is what makes them safe to run in an enterprise — and what makes the second one faster to deliver than the first.
What the system reads
The systems you already run
The shared foundation
Your business, encoded once
Entities, hierarchies, and the language your teams use — every agent reasons from this
What the agents do
Coordinated agents
Hand-offs between them are designed and tested, not improvised at runtime.
In the loop
Never without
What comes out
A brief for the person who decides — and the decision stays theirs
Governance & audit trail
A shared understanding of your business
Before any agent runs, we encode how your business fits together — entities, hierarchies, and the language your teams actually use. Every agent reasons from the same foundation, so two departments do not arrive at two versions of the same number.
Output: A business model the whole system reasons from
Agents that hand work to each other
An operations agent that finds a delivery problem hands it to the finance agent to size the impact, and to the briefing agent to inform leadership. Coordination is designed and tested, not left to improvisation at runtime.
Output: Defined hand-offs between agents, and to people
Boundaries before capability
Every agent has defined limits: what it may access, what it may do, and what always requires a person. Every action it takes is logged, every finding stays traceable to its source, and escalation follows your existing lines of authority. This is the layer that makes the rest safe to run.
Output: An audit trail, and an escalation path that mirrors yours
A single agent is useful on its own. This is what makes it enterprise-grade — and what makes the second agent faster to deliver than the first.
Where it goes next
Start with one process. The second one is faster. The first agent carries the cost of the foundation. Everything after it inherits one — which is why expanding is not a second project at first-project prices.
One process, end to end
We pick a single process that is slow, manual, and repeated often enough to be worth the work. The first agent carries the whole build with it: the model of your business, the access, the guardrails, the hand-off to a person.
What the first one pays for
The next process
The second agent inherits the business model and the guardrails already agreed with you. What is left to build is the part specific to the new process — which is why it arrives in a fraction of the time the first one took.
What's left to build
The next team
By the third, expansion is a scoping conversation rather than a project. The same foundation reaches a new department, and findings stay consistent with what the other teams already see.
What's left to build
None of this asks you to commit to the whole programme upfront. The first process is scoped on its own, and what you get at the end of it is a working system — whether or not there is ever a second.
Built to your standards
The constraints are the design, not the obstacle.
Where your data may sit, which models may touch it, and who signs off on what — these are the first questions we ask, not the ones that surface at deployment.
Your data stays where you decide
Agents operate inside your environment and under your existing access rules. Nothing is copied somewhere new to make the system work, and an agent cannot reach what the person it works for could not.
Your choice of models, including your own
We are not tied to one provider. Agents can run on leading commercial models, or entirely on models deployed within your own infrastructure — for organizations where certain information can never leave the building.
Indonesian regulation, by design
Systems are designed around the rules that actually apply to you — UU PDP, the sectoral requirements of your regulator, and internal review board processes. Data residency is a design input from the first session, not a question raised at deployment.
Your deployment, your rules
Cloud, private cloud, or on-premise. Where the constraint is strict, the whole system runs inside your perimeter — the same architecture, without the outbound connection.
Briefs in the language your teams read
Findings are delivered in Bahasa Indonesia or English. A brief that leadership has to translate before discussing it is a brief that arrives late.
Procurement-ready
Scope definition, documentation, and administrative requirements prepared to match corporate and government procurement formats.
How we work with you
Three stages, and you see something working in the second. Design is scoped separately from the build, so you are not committing to a system before you have watched one run.
Understand the process
Weeks, not monthsWe work with your teams to map how the work actually flows, and where the slow, manual questions live. Some of what we find does not need an agent at all, and we will say so.
Output: A map of the process, and the questions worth automating
Design the system together
Agreed before we buildWe agree what the agents watch, when they speak up, who they report to, and what they are never allowed to do on their own. You see a working version early, not a slide deck.
Output: An agreed system design, and a working first version
Build, run, expand
Live inside your routineThe first agents go live in your existing routine and run against real work. As they prove themselves, the foundation is already in place to extend to the next process, and the next team.
Output: A running system, and a foundation the next one reuses
What this is — and isn't
Three things worth being clear about.
Custom-built, not off-the-shelf
Every system starts from your process. We reuse our own foundations, never a template of someone else's business.
Analysis and recommendations, not decisions
Agents explain, size, and advise. Your people decide, and the system is built so that stays true as it grows.
Built for business functions
Finance, risk, operations, and commercial teams are who the system serves. Your engineering team is a partner in the build, not the audience for it.
FAQ
The questions buyers ask first.
Contact us
Bring us the question your teams keep answering by hand.
- One working session, free, no pitch
- If the process doesn't need agents, we'll say so
- We reply within one working day