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Questions we get asked.

What we build, how an engagement runs, and what happens to a system once we hand it over.

Working with us

What does The Foregrounds actually do?

We scope where AI belongs in a firm, build the systems that follow, and stay through adoption. In practice that is four kinds of work: deciding which opportunity is worth funding, building agents that carry routine steps, building knowledge systems that answer from documents your firm approved, and building the client-facing surfaces around both. The consulting and the engineering are done by the same people.

Who do you work with?

Professional-services and expert firms — legal practices, advisory teams, logistics and operations groups, nonprofits — where the work runs on documents, approvals, and knowledge that lives in people's heads. Our clients are usually the operator who owns a painful process and an executive sponsor who can fund fixing it. Our clients sit in four regions: North America, the Caribbean, the Middle East, and Southeast Asia.

Do we need engineers or an AI team in-house?

No. We work directly with the people who own the process — operations, finance, HR, legal, marketing — and handle the technical judgment ourselves. What you do need is one person who can decide, and later, one person willing to own the system. Neither of them has to write code. Both of them have to understand the workflow.

How is this different from hiring a large consultancy?

No handoff between a strategy team and a delivery team. The engineers who sit in your interviews are the ones who write the code, which is why the estimates survive contact with the data. And the engagement ends in a system rather than a recommendation: phase one produces a decision memo, and the work after it produces software your own team runs.

How do we start?

A thirty-minute call, in which you describe the process that is costing you and we say whether this is work we should take. Sometimes it is not: the problem turns out to be a process question, or a tool you already own. When the fit is there, the next step is a scoped diagnostic of one workflow, agreed in writing before it starts.

Do you work with law firms?

Yes. Legal work — intake, engagement letters, status tracking, precedent libraries, and the document handling around them — suits these systems because the rules are explicit, the volume is high, and the cost of an unchecked answer is obvious to everyone. Confidentiality boundaries are designed in from the first conversation.

What we build

What kinds of systems do you build?

Agents that run routine workflow steps and stop for a person at each judgment call. Knowledge systems that answer from an approved document library and cite the source. Client portals, internal tools, and dashboards. And the sites that carry a firm's argument in public. Most engagements combine two of these, because an agent without a surface a person can work in tends to go unused.

What is an agentic system?

Software that carries a piece of work forward on its own instead of waiting to be told each step. It reads an incoming document or record, works out what it is, performs the routine steps, and hands the case to a named person when the next decision needs judgment or falls outside its rules. A person still owns the outcome. The agent owns the mechanical middle.

Can you build a client portal?

Yes, and it is one of the more common requests. A portal shows clients what you have received, where it sits, and what happens next, which removes the status email from somebody's morning. Secure upload, a review queue, permission rules, and publishing controls are the usual parts. It works best when it is fed by the system doing the underlying work rather than updated by hand.

Do you build internal tools and dashboards?

Yes — operations portals, intake and approval screens, reporting surfaces, and the databases underneath them. The test we apply is whether the tool earns its maintenance. A dashboard nobody opens on a Tuesday is a cost. We would rather build one surface the team uses daily than five that get demoed once and quietly abandoned.

Can a system answer from our own documents?

That is what a knowledge system is for. It reads a library your firm defined and cleared, returns the source document with each answer, and declines when nothing in the library covers the question. Access rules are enforced inside the system, so people see answers drawn only from what they are entitled to read.

Do you work with the tools we already use?

Usually, yes. We integrate with mainstream CRMs, document management systems, email, spreadsheets, and databases, and we would rather connect what is working than replace it. Where a tool is genuinely the constraint, we say so and show the evidence. Ripping out a system your people know is expensive, and it is rarely the cheapest way to fix the workflow.

How an engagement runs

How does an engagement work?

Three phases. Decide: interviews with the people closest to the work, an opportunity map ranked by effort and value, and a decision memo. Build: requirements, a prototype in your environment, and the work to make it production-ready. Operate: training, documentation, a named owner, and scheduled review points. Each phase produces an artifact you can hold, and each one can be the last if the evidence says stop.

How do you decide which workflow to automate first?

High volume, clear rules, a bounded set of exceptions, and someone who already owns it. Workflows that need judgment on nearly every case make poor first candidates however painful they are, because the agent ends up handing everything back. We score the candidates on effort, value, and judgment load, and you keep the scoring sheet so the next round can be ranked without us.

Do you run an AI readiness assessment?

We run a diagnostic, which is a different thing. A readiness assessment usually scores a company against a maturity model and returns a grade. Our diagnostic maps one workflow end to end, prices what it costs today, and names an opportunity worth funding. Readiness questions get answered along the way — data quality, ownership, tolerance for change — but they are not the deliverable.

How long does an engagement take?

It depends on how many workflows are in scope and how quickly your team can give us access and answers. We scope the length with you before the work starts and put it in writing, rather than quoting a standard duration that fits nobody. What we hold to is that each phase ends with something you can use, so a long engagement is never a long wait.

What happens after the system ships?

Someone inside your firm owns it, trained on the working system with the live queue in front of them. They get a runbook pitched at their level rather than an engineer's, an exception log to read, and scheduled reviews that catch drift before it becomes an incident. Where you want us involved after that, it is defined work with a scope. It is not an open-ended retainer.

What if you conclude we should not build anything?

Then we write that down with the reasoning and say it plainly. A surprising number of expensive processes are broken by a missing field, an unclear owner, or a tool you already pay for that nobody configured. Finding that out in the diagnostic is a good outcome. It costs far less than finding it out in month six of a build.

Data and security

Where does our data go, and which models do you use?

Systems run inside your environment, under your firm's own access rules, wherever the work allows it. Model choice follows the case rather than fashion: we select for accuracy on your task, cost, and the data-handling terms your firm can accept, and we tell you what we picked and why. Where a workload cannot leave your control, we design for that constraint from the start.

Do you hold SOC 2 or ISO certification?

No, and we will not imply otherwise. We hold no compliance certifications. What we ship instead is a set of practices on every build: the system runs in your environment, it reads only sources you cleared, one named person owns it, the documentation is readable, review points catch drift, and each agent has a written safety contract. Your own compliance team can audit all six.

How do you stop an agent from doing something it should not?

The safety contract, written and agreed before the build starts. It states what the agent may complete alone, what must stop for a named approver, and what it may never touch. The system enforces those limits rather than merely documenting them, anything it cannot classify goes to an exception queue, and the log of what it declined is read by the owner on a schedule.

Who can see what inside a knowledge system?

Access is mapped before anything is indexed, not added afterwards. Retrieval runs under your firm's existing permissions, so a document a person should not see is one the system will not return to them. Where a client or matter boundary applies, the library is partitioned along that boundary, and the partition is tested with questions designed to cross it.

Who owns the code and the accounts?

You do. Repositories, hosting, domains, and third-party accounts are in your firm's name, and handover includes the access to prove it. Nothing we build depends on an account only we can reach. If you take the work elsewhere, everything needed to keep running it goes with you, including the documentation and the safety contracts.

What happens if we stop working with you?

The system keeps running, because it was built to be owned by your firm rather than by us. There is a named owner, a runbook written for the people who run it, and no dependency on our accounts or our presence. That is the point of the Operate phase, and it is the test we apply to a handover: could this team keep it alive without a call to us?

Start withthe businessproblem.

Thirty minutes. You describe what's slow, manual, or opaque today. We tell you honestly whether we're the right firm to fix it.

30 minutes