We work with mid-sized companies to integrate AI into real workflows so teams complete tasks faster, automate repetitive work, and produce better outputs. No jargon. No pilot projects that go nowhere.
30 mins. We map your top 3 AI opportunities. No commitment.
Every engagement
ROI-First
Consult, Redesign, Train
3 Pillars
50-5,000 employees
Mid-Market
Workflow Transformation
Manual to Autonomous
Legacy Stack
Unstructured Email
Manual Doc Entry
AI Pipeline
AI Research Node
AI Drafting Node
AI Summary Node
What is actually happening inside most organisations right now
Companies are buying AI tools. Employees are still working the same way they always have.
AI tools are installed. Habits are not changed.
ChatGPT is in the browser. Copilot is in Microsoft 365. The AI budget is spent. But emails are still written from scratch, reports still take three hours, and meeting notes are still typed up manually by a junior. The tools exist. The workflows have not changed.
AI becomes another tab, not a way of working.
When AI tools are introduced without workflow redesign and training, employees treat them as a search engine they open it occasionally, ask a vague question, get a generic answer, and go back to doing things the way they always have. Usage rates stay below 20%.
Leadership can see the tools. They cannot see the impact.
The investment in AI licences, tools, and occasional lunch-and-learn sessions is real. What is missing is a measurable change in how fast teams produce outputs, how consistent quality is, and what proportion of repetitive work has been eliminated. There is no ROI because there is no structured adoption. That is what this service is designed to fix.
Random AI experimentation is not an AI strategy. It is the absence of one. The organisations that are pulling ahead are not the ones with the most AI subscriptions - they are the ones where AI is embedded into how work actually gets done, department by department, workflow by workflow.
Three ways we help your organisation move from AI experimentation to AI adoption
[ 01 ]
AI Opportunity Identification
Before any training or workflow redesign, I work with your leadership team to map where AI can create real, measurable business value. Not generic AI use cases from a LinkedIn post specific opportunities inside your marketing, operations, HR, finance, and strategy functions based on how your teams actually work today.
This engagement produces a prioritised AI adoption roadmap: the top 5 to 10 automation and AI-augmentation opportunities ranked by impact on output quality, time saving, and cost reduction, with implementation difficulty and realistic ROI estimates for each.
What we cover
Current workflow mapping across target departments
Manual task inventory (where is time actually going)
AI fit scoring: what is genuinely automatable vs overhyped
Tooling assessment: what you already have vs what is actually needed
Stakeholder interviews: understanding real bottlenecks, not assumed ones
Budget and timeline estimation for each opportunity
What you receive
Prioritised AI adoption roadmap document
Department-by-department opportunity map
Honest assessment of ROI potential for each initiative
Recommended tool stack (with rationale, not just a list)
90-day implementation sequence
Presentation deck ready for board or senior leadership sign-off
Typical engagement length: 2 weeks. Format: remote workshops + async document review. Deliverable: a written roadmap you own completely.
[ 02 ]
Workflow Redesign
Knowing where AI can help is not enough. The workflows have to change. I work directly with department heads and team leads to redesign specific workflows research, writing, reporting, analysis, documentation, decision-making so AI becomes part of the standard process, not an optional extra.
This is the step most AI training programmes skip. They teach the tool. They do not change the process. I do both. By the end of a workflow redesign engagement, the team has a documented, repeatable AI-integrated way of completing each targeted task not just knowledge of the tool.
Workflows most commonly redesigned
Research and market analysis workflows
Report and presentation drafting
Email and client communication drafting
Meeting preparation and follow-up documentation
Data analysis and insight generation
Content creation and review cycles
Proposal and tender writing
HR screening and candidate assessment processes
The redesign output
Documented AI-integrated workflow for each targeted process
Step-by-step process maps showing where and how AI is used
Prompt libraries and templates for each workflow
Quality control checkpoints built into the new process
Time-saving benchmarks (before vs after) so ROI is visible
Version controlled in your team's preferred tool (Notion, Confluence, SharePoint)
Typical engagement length: 3 to 6 weeks depending on number of workflows. Format: team workshops + 1:1 sessions with key workflow owners.
[ 03 ]
AI Team Training
The training sessions are not generic AI overviews. They are role-specific, workflow-specific, and immediately applicable. Participants leave each session with prompts they used during the session, workflows they have already changed, and outputs they have already improved not slides about AI capabilities they might try someday.
Training is delivered in small groups (8 to 20 participants) so every participant gets to apply what they learn in real time. Every session is customised to the team's actual work: the marketing team trains on their actual briefs, the finance team trains on their actual reports, the HR team trains on their actual job descriptions.
Multi-session programme (4-6 sessions over 4-6 weeks)
Leadership AI briefing (90-minute executive session)
Train-the-trainer (for L&D teams to deliver internally)
Department-specific sprint (focused on one team's workflows)
What participants walk away with
Prompt library specific to their role and workflows
Documented AI workflow for their 3 most common tasks
Quality benchmark: their own before/after output examples
Personal AI productivity toolkit (tools, prompts, workflows)
Post-session checklist for the first 30 days
Access to a shared resource library updated monthly
All training is delivered by the consultant directly not outsourced to associates. Remote delivery available globally. In-person available in India.
[ 04 ]
Automation Workflow Development
In some engagements, the highest-ROI opportunity is not AI augmentation of human work it is the complete elimination of a repetitive manual task. Where this is the case, I build automation workflows that connect your existing systems and remove the manual step entirely.
This is not software development. It is workflow automation using no-code and low-code tools n8n, Make, Zapier, or AI agent frameworks that can be built, deployed, and maintained without a technical team. The result is a process that runs itself, with outputs that feed directly into your existing tools.
What gets automated
CRM data entry from email and form submissions
Report generation from recurring data sources
Internal approval and routing workflows
Document creation from structured inputs
Meeting summary generation and action item distribution
Employee onboarding document collection
Social media and content scheduling pipelines
Client communication follow-up sequences
Tools used
n8n (self-hosted, data-secure, recommended for enterprise)
Make (Integromat) large library of pre-built integrations
Zapier fastest for simple, well-supported integrations
OpenAI / Claude API for AI-augmented automation steps
Python scripts for custom logic where required
Your existing stack: CRM, ERP, Google Workspace, Microsoft 365
We work with organisations that are serious about AI adoption - not just curious about it
You are the right client if:
You are a mid-sized company with 50 to 5,000 employees where AI has potential but no structure teams are using AI tools individually but there is no organisation-wide approach to adoption.
You are a Head of HR, L&D Director, COO, or senior leader responsible for team productivity and you have been asked to show AI impact not just AI activity.
You have already bought AI tools (Copilot, ChatGPT Enterprise, Gemini, or others) and the usage data is disappointing people are not using them or not using them meaningfully.
You want a measurable output from an AI engagement, not a motivational talk about the future of AI. You want to see productivity numbers change.
You are in a knowledge-work-heavy sector: professional services, financial services, consulting, technology, marketing, media, legal, HR services, or operations-heavy organisations.
You want the teams themselves not just leadership to come out of the engagement with changed habits and documented new workflows.
This may not be the right fit if:
You want a one-hour inspirational AI keynote with no follow-through motivational talks and this structured adoption work are fundamentally different products.
You want a technology implementation project this service is not software development or IT infrastructure. If you need AI systems built, that is a separate BlokMiners service.
You are looking for the cheapest possible AI training this is a specialist, high-contact engagement focused on measurable outcomes, not commodity content delivery.
You need AI adoption across 10,000+ employees in 4 weeks that scale requires a different approach. This service works best with focused teams and department-by-department rollout.
After working together, here is what organisations typically report
Employees completing the same tasks in 30 to 60% less time with measurably better quality outputs
Repetitive manual work automated entirely no longer touching human calendars
More consistent output quality across the team less variation between high performers and average performers
Clear, visible productivity improvements that can be tracked, reported, and presented to leadership
AI workflows documented and replicable new team members can adopt them without additional training
Employees who previously resisted AI now using it confidently in their daily work
Leadership with a clear picture of AI ROI not just usage stats, but output and time metrics
30-60%
Faster task completion
Research, reporting, drafting, analysis
70%+
Repetitive task elimination
In fully automated workflows
< 4 wks
To first measurable change
From engagement start to visible results
3 pillars
Consult, Redesign, Train
End-to-end, not just one layer
Productivity improvements are measured against a baseline established at the start of the engagement.
Before the first session, we document how long key tasks currently take and what the output quality looks like. After the engagement, the same tasks are measured again. The improvement is documented in a report you can present internally.
Typical metrics tracked: time to complete specific tasks (in minutes/hours), output review cycle length (how many rounds of editing before sign-off), error rate in templated outputs, and proportion of a task now completed by AI vs manually.
What organisations stop doing after working together
Manual first drafts of reports and documents
The first draft of every templated output is now AI-generated and edited to final not written from scratch. Time per document: 60 to 90 minutes saved per document.
Manual research and summary compilation
Market research, competitor analysis, regulatory monitoring, and internal knowledge retrieval are handled by AI-powered research workflows. Time per project: 2 to 6 hours saved.
Copy-pasting between systems
Automation workflows eliminate the manual transfer of data between CRM, spreadsheets, email, and reporting tools. Eliminates the most error-prone and time-consuming admin tasks.
Inconsistent communication quality
AI-assisted drafting with team-specific templates and tone guides produces consistent quality regardless of which team member generates the output.
A structured process with clear milestones - not open-ended consulting with no finish line
1
AI Readiness Call (Free, 30 minutes)
We start with a conversation about where your organisation is right now what tools you have, where the friction is, what has been tried before, and what you are actually trying to achieve. I ask specific questions and give you an honest assessment of whether structured AI adoption is the right move for you right now. No pitch, no sales deck. Just a real conversation.
2
Scoping and Proposal (1 week)
Based on the readiness call, I produce a written proposal: specific departments and workflows to address, the engagement format and length, measurable objectives, and a fixed investment amount. Everything is defined before work begins no scope creep, no hourly billing surprises.
3
Discovery and Mapping (1 to 2 weeks)
Stakeholder interviews, workflow documentation review, and a current-state assessment. I map exactly how targeted tasks are done today including the hidden steps, the workarounds, and the pain points that do not appear in any process document. This is the foundation everything else is built on.
4
Redesign, Build, and Train (2 to 8 weeks)
The main engagement: workflow redesign sessions, training workshops, automation builds where applicable. Paced to avoid overwhelming teams typically 2 to 4 hours per week per team. Every session produces a documented output that the team owns and can use the next day.
5
Measurement and Handover (1 week)
We measure against the baseline established in week one. Document the results. Produce a handover report with all workflows, prompt libraries, automation documentation, and recommended next steps. The team is self-sufficient from this point this is not a subscription dependency.
Format options
AI Readiness Audit only roadmap and recommendations, no training: 2 weeks
Single department sprint one team, focused workflows, 3 sessions: 3 to 4 weeks
Full adoption programme multi-department, redesign + training: 6 to 10 weeks
Leadership AI Briefing executive team, 90-minute strategy session
Train-the-Trainer equip your L&D team to deliver internally
Ongoing AI Advisory monthly retainer, ongoing guidance and new workflows
Investment range
Readiness Audit: from ₹1.5 lakh (fixed fee)
Single department sprint: from ₹3 lakh (fixed fee)
Full adoption programme: from ₹8 lakh (scoped per engagement)
Leadership briefing: from ₹75,000 (single session)
Train-the-Trainer: quoted individually
Monthly retainer: from ₹1 lakh per month (minimum 3 months)
All pricing: fixed fee, defined scope. No hourly billing. Invoice on milestone completion.
What is included across all engagement types
Current state workflow mapping
Documentation of how your teams currently complete key tasks the baseline everything is measured against
AI opportunity identification
Ranked shortlist of the highest-ROI automation and AI-augmentation opportunities in your specific organisation
Custom AI adoption roadmap
90-day phased plan with ownership, timelines, and investment estimates for each initiative
Workflow redesign documentation
Step-by-step new workflow maps showing exactly where and how AI is integrated into each process
Role-specific prompt libraries
Collections of tested, refined prompts for each team's most common tasks not generic prompts, specific ones
Live Interactive training workshops
Interactive sessions where participants use AI on their real work during the session not just a demo
Automation workflow builds
Where applicable: no-code automation pipelines that eliminate manual repetitive tasks entirely
Before/after productivity metrics
Documented measurement of time-per-task before and after the evidence of ROI
Post-engagement resource library
All workflows, prompts, and templates compiled into a searchable internal resource teams can update themselves
30-day follow-up check-in
A scheduled follow-up session 30 days after engagement close to review adoption, answer questions, and course-correct
Social Proof
What leadership teams and HR directors say after working together
“We had Microsoft Copilot deployed across 400 employees for six months and the usage data was embarrassing. After the workflow redesign engagement, the same tools produced genuinely different results. We tracked a 40% reduction in first-draft document time across the operations team within three weeks.”
Operations Director — [Company name — B2B services firm, 600 employees], Confidential on request
“The biggest value was not the training itself it was having someone map exactly where AI fits into our actual workflows before training anyone. We had been training on tools without changing the process. The order matters. Results followed almost immediately.”
Head of L&D — [Company name — Professional services, 1,200 employees], Confidential on request
“Our senior team was sceptical. They agreed to a 90-minute leadership briefing as a test. By the end, three of the five directors had identified specific workflows they wanted to change. That turned into a full department rollout. The briefing session more than paid for itself in the first week.”
CEO — [Company name — Mid-market consulting firm, 180 employees], Confidential on request
AI training teaches people how to use tools it covers features, prompts, and capabilities. AI adoption consulting goes further: it maps your specific workflows, identifies exactly where AI should be embedded, redesigns the processes, and then trains people on the new way of working. Training without workflow redesign produces short-term usage spikes that fade within weeks. Adoption consulting produces permanent changes to how work gets done.
If your teams are using AI tools and nothing has measurably changed, that is a process problem - not a technology problem.
Book a 30-minute AI readiness call. We will map your top 3 workflow automation opportunities, estimate the productivity gain, and tell you honestly whether a structured adoption programme is the right move for your organisation right now.
30 minutes, flat
Structured conversation. No preamble, no sales deck. We get straight to your specific situation.
No cost, no commitment
The readiness call is free. The proposal is free. You decide whether to proceed after seeing the full scope and investment.
What you will have after the call
A clear picture of where AI can change how your teams work. A rough estimate of the productivity gain available. An honest assessment of whether our approach is the right fit. And a written proposal within 5 business days if you want to move forward.
This conversation is between you and the consultant directly. Not a sales team. Not an automated sequence. A real conversation about your organisation's specific situation.