Put AI to work on the documents, requests, and follow-ups that fill your team’s day. Find the workflows worth improving, connect the tools you already use, and roll out with your team. Start with one measurable improvement.
Gmail · Sarah's inboxStart where the work is repetitive, the information is available, and a useful improvement can be measured. Build around the operation your team already runs.
Every vendor has an AI pitch. You need to know which workflow is worth the investment and what it will take to make it work.
People use AI to write and research, while requests, documents, and handoffs still move through the business by hand.
The demo looked promising. The integrations, training, ownership, and checks needed for a real rollout never followed.
Explore six ways AI can support everyday operations. Each example starts with a specific task, a person responsible, and something useful to measure.
Important information arrives in long documents and threads, and your team has to read everything to find the next step.
Extract the relevant details from an agreed document type. Keep source references and route missing or ambiguous information to a reviewer.
Review time, extraction accuracy, and important details missed.
Your team repeatedly writes similar documents, but each one still needs accurate business context.
Use approved records to prepare a draft. A person checks the facts, edits the wording, and decides when it is ready to send.
Time to a usable draft, review effort, and factual corrections.
The answer exists somewhere, but people keep asking the colleague who knows where to look.
Answer a question from approved sources, show where the answer came from, and hand off when the information is missing.
Answer accuracy, source coverage, and fewer repeated internal questions.
Problems become visible only when someone finds time to compare the numbers.
Check agreed signals in connected records and bring exceptions to the responsible person with the context attached.
Useful alerts, false alarms, and time from detection to action.
Requests wait in an inbox while someone works out what they are and who should handle them.
Read an inbound request, suggest the route, and prepare the next action. Use ordinary rules for predictable steps and AI where interpretation helps.
Routing accuracy, handoff time, and requests that remain unassigned.
The team spends hours comparing records before it can investigate the few that need attention.
Compare structured records with deterministic checks. Use AI to interpret messy inputs or summarize exceptions for a person to review.
Review time, missed mismatches, and unnecessary exception flags.
CliffCliff is our autonomous SEO agent. It audits the site, builds the strategy, carries out scheduled improvements, and reports on the work. Built to take on the recurring SEO workload without adding a full-time hire.
We compare opportunities before committing to a build. The output is a short priority list, the dependencies, and a clear first workflow.
Find the repeated tasks, handoffs, and exceptions with the people doing them. Record a useful baseline.
Compare value, readiness, and risk. Agree one owner and what a successful first release must do.
Connect the required tools and review working software weekly. Target 3–4 weeks once scope, access, and data are ready.
Try real cases, check the outputs, and rehearse exceptions. Train the people who will use and review the workflow.
Start with a defined group and clear approvals. Monitor quality, usage, and costs as it enters daily work.
Compare results with the baseline. Improve, expand, or stop based on the evidence, then prioritize the next workflow.
A senior engineering team on a monthly basis, sized to how fast you want to move. Any tier can work through the same roadmap. A smaller team takes more months; a larger team moves more of it forward at once.
An agreed first release, then weekly progress
Work through the roadmap in priority order at a steady monthly budget.
An agreed first release, then weekly progress
Add capacity to move the build, integrations, and rollout forward together.
An agreed first release, then weekly progress
Bring more capacity to a tighter timeline or several connected workstreams.
Three-month minimum, thirty days' notice. You own the code from the first commit. Model usage and third-party tool fees are separate. We estimate these against the workflow and agree budgets before rollout.
You own the repository, prompts, and workflow-specific tests we build for you. We document how the system works so another team can maintain it.
Agree who owns each model, cloud, and integration account. Keep usage, credentials, and access responsibilities visible to your business.
Hosting, monitoring, backups, and security updates are included while we work together. Agree who reviews exceptions and how support continues after handover.
Define what the system can read and change, what it logs, and how long records are kept. Review provider terms and specialist requirements before using sensitive information.
Runs discovery and architecture on every project and writes code on all of them. Built Agency ERP, Arlo, and Ollie for our own operations first.
Owns the data model, migrations, and integrations. The person who makes QuickBooks, Stripe, and your spreadsheets agree with each other.
Builds the product surface: the screens your team uses every day, the permissions behind them, and the tests that keep them working.
Clear answers on timelines, pricing, ownership, and what shipping actually looks like with a senior engineering team.
Engineering retainers start at $7k per month, with $13k and $18k+ options for more delivery capacity. The tiers set the pace, not which workflows you are allowed to build. We agree the roadmap, dependencies, and likely duration together. There is a three-month minimum and thirty days’ notice. Model usage and third-party tool fees are separate.
We target a usable first workflow in 3–4 weeks once scope, access, and data are ready. That is a first release for review, not a promise that the whole operation is ready to run unattended. Integrations, testing, and rollout requirements determine the wider timeline.
Yes. We review the actual work with your team, establish a baseline, and compare opportunities by value, data readiness, and risk. The first decision is what is worth changing, including whether an existing tool or ordinary automation would be enough.
We agree a prioritized opportunity list, a first workflow, a baseline, and an owner. Where access and data are ready, we target a usable first release in 3–4 weeks. If discovery exposes a blocker, we make that visible and agree the next step rather than calling an incomplete pilot a rollout.
That is usually the starting point. We assess supported integrations and put the workflow where your team already works when practical. Sometimes the gap is in the underlying process or data, and that needs attention before adding AI.
No. An existing AI feature, a document assistant, or rules-based automation may be a better fit. An agent is one option when a defined task requires choosing among actions across tools.
Agree the baseline before building: handling time, errors, queue length, or another measure tied to the task. During rollout we also track output quality, adoption, human review effort, and cost. An impressive demo is not the acceptance criterion.
Yes. We involve users in testing, explain what the workflow can and cannot do, and practice how to review output and escalate issues. Training and support responsibilities are part of the rollout plan.
We map data flows, agree access and retention, and review the terms and configuration of the providers involved. Sensitive or specialist workflows may need additional review before we recommend an architecture.
Yes. Start with a useful workflow and shared foundations. Expand when the first release has demonstrated value and the next workflow is ready. There is no requirement to move every department onto AI.
Tell us what you're building or fixing. We'll come prepared with questions, not a pitch, and you'll leave the call with a straight answer on fit, which tier, and how soon you'd have version one in your hands.
Or email hello@buildfutur.com