Product management that ships, and proves it works.

AnsareAI is a product management consultancy for mid-size companies. When a feature or AI project is stuck, untested or still just an idea, we work out what it should do, plan it, deliver it, and show you the numbers on your own examples. Product thinking comes first. AI is used where it helps.

Written acceptance criteria

The pass mark, agreed in writing before any work starts.

How every project is judged

Three checks, reported at the end

  • Shipped on the agreed dateA delivery date agreed up front.
  • Passed the written acceptance criteriaThe pass mark agreed with you first.
  • Signed off by your named ownerOne accountable person on your side.

Each project ends with a report that measures the result on your own cases.

A named owner on your side

One accountable person on every project.

Fixed-scope offers, priced in advance.Less hype. More measured results.
What we do, in plain words

We take a stuck or unproven project and make it work.

A "workflow" here means a task your business repeats, such as sorting incoming documents or answering the same customer questions. Every project is one of three kinds of help.

We evaluate it

Something was built, but nobody can say how well it works. We run an evaluation on your real examples and give you a measured accuracy score for each task.

We plan it

You have not started. We look at your work, rank the tasks most worth improving and give you a plan for the first one.

We build it

You know what you want. We deliver it live in your business, tested against written acceptance criteria (the pass mark) we agree together before we start.

Who it is for

Mid-size companies with a product, feature or AI project to deliver.

What you get

Written deliverables and an evaluation report that measures the result on your own examples.

What it costs

A fixed price agreed in writing before work starts. Not hourly.

The problem

Features and pilots stall for ordinary reasons.

See how we work

We settle them on day one: a written definition of done, a named owner, and your real cases.

No written definition of done

Nobody wrote down what "good enough" means, so nobody can say whether it passed.

No accountable owner

The work belongs to a vendor, a project team or an enthusiast, never to the person who runs the process.

Never tested on real cases

The demo worked on clean examples. The data and edge cases of the real work were never checked.

Does this sound like you?

You have a problem. Here is what we provide.

Find your situation and start with the matching offer. Estimates and full details are on the offer cards.

You have this problemThis is what we provide
Your AI project or feature stalled, or nobody trusts its results.An evaluation of how well it works on your real examples, why it stalled, and a list of fixes.Start with Pilot rescue
You have not started with AI and do not know where to begin.Your best workflows ranked by value and how achievable they are, with a roadmap for the first project.Start with AI workflow audit
You already built something, but your own team cannot check its quality.An evaluation set and a scoring routine, so your team can measure quality themselves.Start with Evaluation setup
You know what you want built and need it live and working.One workflow live in your business, tested against written acceptance criteria, with a handover and staff training.Start with Implementation sprint
It is live, and you want to be sure quality does not slip.Monthly evaluation of a sample of the work, with fixes and small improvements.Start with Monthly monitoring
How the offers fit together

Most clients go in this order.

You can start at any step. A review or an audit usually leads to a build, and a build leads to monthly checks.

1. StartPilot rescue or AI workflow audit
2. BuildImplementation sprint
3. KeepMonthly monitoring

Evaluation setup is for teams that already built something. The company shortlist is a separate service.

Start with a 30-minute call.

Tell us which feature, pilot or workflow is stuck, or what you want to start with. If an offer fits, you get a written scope and price after the call. If none fits, we will say so.