FAQ
Common questions.
Plain answers on what we build, how an engagement runs, and who owns the work when we finish.
Getting started
What does The Foregrounds actually do?
We work out where AI pays off in your business, build the systems, and stay until your people run them. In practice that is four kinds of work: deciding which idea is worth funding, building agents that handle routine steps, building knowledge systems that answer from documents your team approved, and building the portals, tools, and sites around them. The same team does the strategy and writes the code.
Who do you work with?
Teams that sell their expertise — consultancies, agencies, accounting and advisory practices, law practices, specialist teams, and nonprofits — where the work runs on documents, approvals, and knowledge that lives in people's heads. We usually work with the operations lead who owns a painful process and the partner or owner who can fund fixing it. Our clients are across 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 run the work — operations, finance, HR, legal, marketing — and handle the engineering ourselves. You need one person who can make decisions, and later, one person to own the system. Neither has to write code. Both need to know how the work gets done.
How is this different from hiring a big consultancy?
There's no hand-off between the people who scope the work and the people who build it. The engineers in your interviews are the ones who write the code, so our estimates hold up when they meet your data. And the work ends with a running system, not just a slide deck: Decide gives you a clear business case, and Build and Operate leave you with software your own team runs.
How do we start?
With a 30-minute discovery call. You describe the work that's slowing your team down, and we tell you honestly whether we can help. Sometimes the answer is a simple process fix or a tool you already pay for. When there's a fit, you see the exact scope in writing before you decide to start.
Do you work with law firms?
Yes. Legal work — intake, engagement letters, status updates, precedent libraries, and the document handling around them — fits these systems well because the rules are clear, the volume is high, and everyone knows the cost of an unchecked answer. We build confidentiality boundaries in from the first conversation.
Systems and tools
What kinds of systems do you build?
Agents that run routine steps and stop for a person at every judgment call. Knowledge systems that answer from an approved document library and show the source. Client portals, internal tools, and dashboards. And public websites that explain what your business sells now. Most engagements combine two of these, because an agent without a place for a person to review its work goes unused.
What is an agentic system?
Software that carries a piece of work forward on its own instead of waiting for a prompt at every step. It reads an incoming document or email, sorts out what it is, drafts or completes the routine steps, and stops for a person when the next call needs judgment. Your team still approves what goes out; the agent handles the routine middle.
Can you build a client portal?
Yes, and it is one of our most common requests. A portal shows clients what you have received, where their file sits, and what happens next, which takes status emails out of your team's morning. It usually includes secure upload, a review queue, permission rules, and publishing controls. It works best when it connects directly to the system doing the work, so nobody updates it by hand.
Do you build internal tools and dashboards?
Yes — operations tools, intake and approval queues, reporting views, and the databases underneath them. Our test is whether the tool earns its keep. A dashboard nobody opens on a Tuesday is just a cost. We would rather build one tool your team uses every day than five that get demoed once and quietly dropped.
Can a system answer from our own documents?
That is what a knowledge system is for. It reads only the documents your team cleared, shows the source with every answer, and says so when nothing in the library covers the question. It follows your access rules, so people only see answers drawn from documents they are allowed to read.
Do you work with the tools we already use?
Usually, yes. We connect with standard CRMs, document systems, email, spreadsheets, and databases, and we would rather work with what you have than replace it. If an existing tool is holding the work back, we say so and show you why. Replacing software your team already knows is expensive, and it is rarely the fastest way to fix the problem.
How an engagement runs
How does an engagement work?
In three phases: Decide, Build, and Operate. In Decide, we learn how your team works, rank your ideas by effort and value, and give you one clear decision to fund. In Build, we build the working system inside your tools, alongside the people who'll use it. In Operate, we train a named owner on live work, hand over a readable runbook, and set regular check-ins. Each phase stands on its own, and the advice is yours whether or not you hire us for the next one.
How do you decide which workflow to automate first?
We look for high volume, clear rules, a predictable set of exceptions, and someone who already owns the process. Work that needs a judgment call on almost every item makes a poor first project, however painful it is, because the agent hands nearly everything back to a person. We score each idea on effort, value, and how much judgment it takes, and you keep the scoring method to rank future ideas on your own.
Do you run an AI readiness assessment?
We run a diagnostic, which is more practical. A readiness assessment usually scores your business against a checklist and hands you a grade. We map the work end to end, count what it costs today, and identify which change is worth funding first. We check data quality, ownership, and team habits along the way, but you pay for a funded decision, not a score.
How long does an engagement take?
It depends on how many workflows we look at and how quickly your team can share access and answers. You see the timeline and scope in writing before we start, rather than quoting a standard length that won't be practical. During a build, we ship in working pieces so you never wait months to see something useful.
What happens after the system ships?
A named person on your team owns it, trained on live work rather than slides. They get a readable runbook, an exception log to check, and scheduled reviews that catch drift before it becomes a problem. If you want our help later on, we scope it as a clear piece of work, not an open-ended retainer.
What if you conclude we should not build anything?
Then we say so in writing and explain why. Many slow processes come down to a missing form field, an unclear owner, or a tool you already pay for that nobody set up. Finding that out during Decide is a good result. It costs far less than finding out after months of building.
Data, security, and ownership
Where does our data go, and which models do you use?
We build inside your own accounts and tools, under your access rules. We pick models based on accuracy for your task, cost, and the privacy terms your business requires, and we explain what we picked and why. If your data cannot leave your systems, we design around that rule from day one.
Do you hold SOC 2 or ISO certification?
No, and we won't imply otherwise. We hold no compliance certifications. Instead, every system ships with the same safeguards: it runs in your own accounts, reads only sources you approved, has a named owner on your team, includes clear documentation, has scheduled reviews to check quality, and runs under a written safety contract. Your team can inspect all of them.
How do you stop an agent from doing something it should not?
Every agent starts with a written safety contract, agreed before we build. It sets out what the agent can finish alone, what must wait for a person to approve, and what it must never touch. We build those limits into the code itself. Anything the agent cannot sort goes to a person, and the owner reviews the log on a set schedule.
Who can see what inside a knowledge system?
We map access rules before we load any documents, not after. Search runs under your existing permissions, so the system never pulls an answer from a file a person is not allowed to see. Where client or matter walls apply, we separate the collections along those lines and test them with questions designed to cross the boundary.
Who owns the code and the accounts?
You do. Code repositories, hosting, domains, and third-party accounts sit in your name, and we hand over full access. Nothing we build relies on an account only we can reach. You keep the code, the documentation, and the safety contracts.
What happens if we stop working with you?
Your system keeps running, because we build it for your team to own. You have a named owner, documentation written for the people who use it, and no reliance on our accounts. That is the whole point of Operate, and our test for handover is simple: can your team run this on Monday without calling us?
Start withthe businessproblem.
Thirty minutes. Tell us what's slow or manual today, and we'll tell you honestly whether we can fix it.
30 minutes