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Applied AI

Agents for the work nobody wants to do twice.

Digital co-workers that take over the repetitive tasks that slow your operations down, like triage, data entry, follow-ups and reconciliation, running around the clock.

Typical engagement6–10 weeks per agent
SurfacesBackground worker, review queue
Best fitHigh-volume, rules-heavy, currently manual
Success testMeasured against the person doing it today
What it means for your business

Lower operating cost

Automate the routine so your team can focus on customers.

Faster response

Requests are sorted and routed in seconds, day and night.

Fewer errors

Consistent handling with a clear audit trail.

Ideal for

Operations, finance and support teams with high-volume routine work.

For your technical team

Narrow, single-purpose agents pointed at one repetitive operational task — triage, extraction, routing, reconciliation — built to be measured and switched off if they underperform.

The problem

The work that quietly eats a team

Every operations team has a task that consumes hours and requires judgement but not expertise: reading a form and routing it, reconciling two lists, extracting fields from a document, triaging an inbox. It is too variable for a rules engine and too boring for the people doing it.

  • It scales linearly with headcount, so growth makes it worse.
  • Quality drops at the end of a shift, and nobody can see when it does.
  • The knowledge of how to do it well lives with two people who are hard to replace.
How a task agent runs
Single-task agent with a review queueWork arrives, the agent classifies and drafts an outcome, confident cases proceed and uncertain ones go to a review queue. Human corrections feed the next evaluation round.Work arrivesForm, document,message or recordExtract & classifyStructured fieldsand a proposed actionROUTING GATEConfidence checkConfident cases proceed.The rest go to a person.ActionRouted, filed,or replied toCORRECTIONS IMPROVE THE NEXT VERSIONStraight-throughNo human touched itReview queueA person decidesCorrection logFeeds the next eval round
The point of the confidence gate is that the agent is allowed to say it does not know. An agent with no way to escalate is not safer for being confident.
What you get

Deliverables, not activities.

Each of these is something that exists at the end and that you own.

01

Task analysis and baseline

We measure how the task is done today — volume, time, error rate — so there is something honest to compare against later.

02

Extraction and classification

Structured output from unstructured input, with confidence attached to every field.

03

A review queue your team will use

Sorted by uncertainty, keyboard-driven, and fast. If reviewing is slower than doing the task, the agent has failed.

04

Escalation rules

Explicit thresholds for what proceeds automatically and what must be seen by a person.

05

Measurement in production

Straight-through rate, correction rate and time saved, reported continuously rather than claimed once.

Technology

What this runs on.

Grouped the way a technical evaluator reads it. Everything listed is in production in work on this site.

01

Understanding

Document extractionClassificationConfidence scoringDomain lexiconsOCR where needed
02

Operations

Queue workersReview consoleEscalation rulesRetry handlingIdempotent actions
03

Measurement

Straight-through rateCorrection loggingDrift monitoringA/B comparison
04

Runtime

PythonNode.jsPostgreSQLRedisAzure
What we need from you

The three things that decide whether this goes well.

  • One task, described honestly — including how often the current process gets it wrong.
  • A sample of real historical work, so we can measure rather than guess.
  • Someone on your team who will own the review queue during the pilot.
Questions we get asked
What if it turns out not to work?
Then we tell you and you switch it off. We baseline the manual process first precisely so that this is a measurable conclusion rather than an argument.
Will this replace people?
In our experience it moves them off the repetitive half onto the exceptions, which is the half that needed judgement anyway. We would rather say that plainly than pretend the question was not asked.
Start here

Let’s build what’s next.

Tell us where your business wants to grow. In one conversation we will show you where AI and software will pay back first, and whether we are the right team to build it.

  • 30 minutes, free, no obligation
  • A clear, practical recommendation
  • Your ideas and data kept confidential
+91 9274 57 58 59Talk to us directly
Businesses & enterprises

Book a free strategy call

We look at your goals, your current systems and your biggest time and cost drains, then recommend the first AI or software move with the fastest payback.

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Public sector

Request a briefing

A working session on your requirement, our reference deployments and a capability statement.

Public sector