Answers
Cost, timelines, ownership and what actually happens if it does not work. 30 answers, written the way they get answered on a call. Where a number is genuinely a range, the range is what you get, not a smaller number with conditions attached.
Timelines, ownership, inherited codebases and what happens once the build ships.
Full Stack Development in fullA focused internal tool is usually four to eight weeks. A customer facing platform with payments, accounts and an admin surface is typically ten to sixteen weeks. Discovery produces a dated schedule before you commit, and the schedule includes the hardening and handover phases rather than stopping at the last feature.
Yes, completely. The repository, the infrastructure accounts and the credentials are yours. There is no licence fee, no proprietary framework you cannot leave, and no charge for access to your own software.
Yes. That starts with a paid audit rather than a rewrite pitch. Most inherited codebases have three or four specific problems causing most of the pain, and fixing those is far cheaper than starting over. A rewrite is only recommended when the audit shows the maintenance cost genuinely exceeds the rebuild cost.
Thirty days of support are included with every build, covering anything that does not behave as specified. After that you can move to a maintenance retainer, hand the system to your own team using the documentation provided, or simply take it and run.
The default recommendation is a responsive web application, because it reaches every device without app store review and costs far less to maintain. When a project genuinely needs native capability such as offline storage or push notifications, React Native shares most of the codebase with the web application.
Model choice, accuracy, running cost and how private data is handled.
AI Integration in fullPrimarily the Claude and OpenAI APIs, selected per use case rather than by preference. Provider access sits behind one internal interface, so switching models later is a configuration change and can be validated by rerunning the evaluation set.
Four layers. Retrieval grounds answers in your own documents rather than model memory. Output schemas are enforced, so malformed responses are rejected before display. Scope limits keep the assistant from answering outside its remit. Anything consequential goes through human review. The residual error rate is measured against the evaluation set and reported, not hidden.
It depends almost entirely on volume and on which model handles which step. A support assistant on a few thousand conversations a month typically runs in the low tens of dollars. Cost projections come out of the prototype phase with real measured token counts, before you commit to shipping.
Yes, and the architecture is designed around it. Data can stay inside your infrastructure, retrieval can be restricted per user, and prompts and responses can be logged or deliberately not logged depending on your obligations. The specific controls are agreed in discovery rather than assumed.
Usually not. Chat is the most visible pattern and often the least valuable one. Classification, extraction, summarisation and search tend to deliver more with far less risk, because they run inside a workflow instead of freely conversing with a customer. Case selection deliberately happens before anyone commits to a chat interface.
Format, audience, team size and policy work for AI training engagements.
AI Literacy Training in fullA standard engagement runs about three weeks: audit interviews in week one, live sessions in week two, and the follow up clinic two to four weeks after that. Each live session is ninety minutes per role group. The total time commitment per employee is usually under four hours.
Those are the people it helps most. The sessions require no coding and no technical background. They are built around the tools your team already has access to and the documents they already work with.
It works from roughly five people up to about eighty. Below five, a single focused session plus a prompt library is usually a better use of the budget. Above eighty, the same programme runs but with an internal champion trained per department so it can be repeated without booking new sessions.
Yes, a written policy is part of every engagement. It is drafted from what the workflow audit found, reviewed with leadership, and kept short deliberately. It is a practical operating document, not a substitute for legal review where your industry requires one.
Every engagement is remote, because the business has no office and does not travel to deliver training. Sessions run live over video with hands on exercises and are recorded for anyone who cannot attend. In practice remote suits this format: people work in their own tools on their own documents, which is exactly what they will be doing the following week.
Hours recovered, systems without an API, headcount and who owns the automations.
Business Automation in fullThe process map produces the number before any building starts, because each step is timed during the audit. Engagements commonly recover somewhere between five and twenty hours a week across a small team, but the estimate you get is calculated from your own measured steps rather than from an industry average.
That is your decision, not an outcome of the work. In practice most clients redirect the recovered hours rather than reduce headcount, because the automated tasks are the ones people least wanted to do. What changes is what the day is spent on.
There is almost always a path: a scheduled file export, a database connection, an email parser or a browser automation. Browser automation is the last resort because it is the most fragile, and when it is the only option that fragility is stated plainly along with what will break it.
You can, and the documentation and handover session are built for that. A maintenance retainer is available if you would rather not own it. Either way you hold the accounts and the credentials, so you are never locked out of your own workflows.
The process map takes about a week. The highest value automation typically goes live in the second week and runs alongside the manual process until it has proven itself through a full cycle. Payback usually starts well before the engagement ends.
Timeframes, guarantees, local search and what search work costs each month.
SEO in fullTechnical fixes on an indexation problem can move within two to six weeks. New content targeting competitive terms typically takes three to six months to settle. Anyone promising first page rankings in thirty days is either targeting terms nobody searches or is about to do something that gets the site penalised.
No, and no honest provider does. Rankings are set by an algorithm nobody outside Google controls, against competitors who are also working. What is committed to is the work: the audit, the fixes, the pages, and monthly reporting that shows plainly what moved and what did not.
Often it is the highest return channel available, because local intent converts far better than broad search and the competition is usually weaker. The work is different though: Google Business Profile, citation consistency, local landing pages and reviews matter more than volume of content.
Yes, and it is a frequent request. The fix is usually server rendering, static generation or a prerender step so crawlers receive real HTML instead of an empty container. Being able to make that change in the codebase rather than only recommending it is the main advantage of an engineering led approach.
The initial technical audit is quoted as a fixed price against site size. Ongoing work runs as a monthly retainer scoped to an agreed number of pages and fixes. You get the scope and the number in writing before starting, and the retainer is reviewed quarterly against results.
Budgets, management fees, timelines and taking over an existing account.
Google Ads in fullEnough to gather data in a reasonable time, which usually means a minimum around fifteen hundred to two thousand dollars a month in media spend for a local service business, higher in competitive categories. Below that the account takes too long to learn and every decision is made on noise.
A flat monthly fee based on account complexity, not a percentage of spend. A percentage fee rewards the manager for spending more of your money, which is the wrong incentive. The initial audit and tracking repair are quoted separately as one off work.
Tracking repair and obvious waste removal show up within the first two weeks. Structural changes need three to four weeks for the algorithm to settle. A fair read on whether the account is working takes about ninety days.
Yes, and it starts with an audit rather than a rebuild. Existing accounts carry conversion history that has real value, so the aim is to preserve what works and fix what does not. You keep ownership of the account throughout.
Usually yes, and they inform each other. Ads reveal within weeks which terms actually convert, and that data makes SEO targeting far more accurate than keyword tools alone. Ads buy immediate visibility while the organic work compounds.
Ask it directly. A thirty minute call, no deck, and a straight answer on scope and cost even if the answer is that this is not the right thing to spend money on.